Search for: "artificial intelligence" - 250 articles found

News • Pharmaceutical Automation and Digitalisation Congress

AUTOMA+ 2026 Highlights AI and Data Intelligence as Key Drivers of Clinical Trial Efficiency

Discussion at the Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2026 recognises that artificial intelligence is an important part of clinical innovation, positioning it as a practical tool for improving speed, decision accuracy and transparency in drug development. Industry attention is increasingly shifting towards AI-driven data ecosystems, advanced analytics and intelligent…

Article • Risks, conditions, and safe practice

When metal meets magnet: Implant safety in MRI

From tissue heating to image artifacts – implants were once considered an absolute contraindication to MRI. Modern implant design and evolving safety standards have changed that picture considerably – yet misconceptions persist, even among imaging professionals. At the European Congress of Radiology (ECR) in Vienna, a dedicated session set out to address those misconceptions head-on.

News • NSCLC immunotherapy response prediction

AI-powered “virtual patient” to advance personalised cancer treatment

On the way to a patient's “digital twin”: A novel, AI-powered virtual patient simulation system integrating multimodal data is designed to advance personalised cancer treatment.

News • Deep visual multi-omics profiling

Digital pathology AI to break down tumor cell populations

Digital pathology and spatial omics could enable researchers to see how a tumor's different cell populations function, opening new perspectives for precision cancer therapy.

Article • The future of the EU Medical Device Regulation

MDR and IVDR: Navigating the rocky road

Perfectly viable medical devices disappearing from the European market, manufacturers walking away from the EU rather than navigating regulatory demands, patients losing access to products with long, well-documented safety records. The implementation process for the MDR and IVDR has been challenging, to put it mildly – and the journey is far from over. Ahead of the EAAR’s MDR/IVDR Summit…

News • Promising technology

AI-based hologram technology to advance multi-focal brain stimulation

A research team has developed a new method that directly optimizes the thickness of a 3D-printed lens to simultaneously and precisely stimulate multiple regions of the brain.

Dr. Beth Erickson

Showing patients and the medical community what radiation therapy can achieve

The members of the American Society for Radiation Oncology (ASTRO) recently elected five new officers to its Board of Directors. Beth Erickson, MD, FASTRO, has been elected President of the medical society.

News • Advanced deep learning approach

Two-step AI system detects brain tumors from MRI

Using a two-step AI approach, researchers have developed a computationally efficient new method to detect and classify brain tumors from MRI scans more accurately.

News • Gesture sequence recognition and clinical outcome prediction

Prostate cancer: AI analyzes surgical technique to improve care

A newly developed AI system analyzes surgeons’ techniques during prostate cancer surgery, helping identify the surgical movements associated with the best patient outcomes.

News • Prediction model

Building a “calculator” for breast cancer risk

A promising predictive model could help women calculate their personal risk for breast cancer, based on non-genetic, genetic and mammographic risk factors, and greatly improve early detection efforts.

News • Fluorescence lifetime imaging microscopy

New technique could aid targeted lung cancer treatment

Detecting genetic mutations associated with lung cancer via laboratory tests can be expensive and time-consuming, and use up valuable tissue from small biopsy samples. A new approach aims to fix this.

Article • A call for consistency at ECR 2026

The aorta is an organ now – and radiology needs to catch up

As the aorta gains recognition as a functioning organ rather than a simple blood conduit, the lack of standardised imaging protocols is becoming an increasingly pressing concern. At ECR 2026 in Vienna, Professor Nicola Galea from Sapienza University of Rome made a compelling case for unified imaging approaches, warning that inconsistency in measurement techniques can lead to flawed clinical…

News • "Second pair of eyes" for endoscopists

Colorectal cancer: AI-assisted colonoscopy improves adenoma detection

A multicenter randomized clinical trial shows that real-time AI-assisted colonoscopy significantly improves adenoma detection among individuals at high risk for colorectal cancer.

Article • From threat to essential ally

Automation, not replacement: the true promise of AI in radiology

Will artificial intelligence (AI) render radiologists obsolete? What seemed a likely scenario only nine years ago, has now given way to a quite different reality: At RSNA 2025, two experts outlined how AI tools are becoming essential allies – not replacements – for radiologists facing an unprecedented workforce crisis.

Article • Education, collaboration, innovation

ESOR at 20: building a common language for European radiology

Past and present leaders of the European School of Radiology (ESOR) reflected on the evolution of radiology education in Europe and the challenges facing the specialty at ECR 2026 to mark the 20th anniversary of the school.

News • Longitudinal AI analysis

Deep learning predicts breast cancer risk from changes in mammograms

AI models can now assess breast cancer risk directly from changes in screening mammograms over time, a new study shows. This opens the door to a new era of dynamic breast cancer risk assessment.

News • Body composition radiodensity

New CT-based marker to refine gastric cancer prognosis

Measuring radiodensity of visceral fat and muscle from CT scans, researchers have identified a new biomarker that may help determine the prognosis for patients with gastric cancer.

Article • Digital pathology

From single-tumour to pan-cancer AI diagnostics

AI is transforming the way cancer is diagnosed and treated. Dr Yuri Tolkach shared his group's advances in developing AI-based tools for oncological pathology at the DPAI Europe congress.

News • dMMR prediction

AI helps analyse colorectal cancer samples

A new AI model enables more efficient analysis of tissue samples taken from colorectal cancer tumours. This can help shorten diagnosis times, reduce costs, and improve diagnostic accuracy.

News • Imaging with minimal diffusion data

Simulations + AI = faster brain MRI scans

A new AI-based method can reduce the time required for certain MRI brain scans by up to 90% while maintaining a high level of accuracy, paving the way for more efficient and accessible neuroimaging.

News • Decarbonisation effort

“MedZero”: Global database shows carbon footprint of healthcare products

Data experts have created the first global carbon analytics database – a new resource to help hospitals and clinics save money, reduce waste, improve patient care, and tackle climate change.

Article • Opportunistic screening

AI tools extract hidden health insights from routine chest imaging

Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.

News • Insights into asymptomatic disease cases

Some brains stay sharp in spite of Alzheimer’s – here's why

Why do some older adults remain mentally sharp despite having Alzheimer's? Decoding this natural resilience could pave the way for earlier detection and new strategies to prevent memory loss.

News • Pharmaceutical Automation and Digitalisation Congress

Why Clinical Trial Data Integration Is Becoming a High Priority for Pharma R&D

News • Behavioural, lifestyle and psychosocial information

“Digital twin” AI links mental health to type 2 diabetes

A new study using a “digital twin” AI model has found that factors such as loneliness, insomnia and poor mental health substantially raise a person’s future risk of developing type 2 diabetes.

News • Medical Equipment and Instruments Trade Fair

Register now for Salmed Connect 2026

Registration has officially opened for the International Trade Fair of Medical Equipment and Instruments Salmed Connect 2026, taking place on 19–20 May 2026 at the Poznań Congress Center.

News • Hybrid deep learning approach

"Double vision" AI system to detect lung cancer from CT scans

To improve lung cancer detection, researchers have developed a new AI system that employs a dual approach to analyse CT scans – seeing both detail and context at the same time.

News • AI-enabled ambient documentation

Do AI scribes prevent clinician burnout? Yes, but...

AI-enabled ambient documentation shows great promise for reducing doctors' workload – but how big is their impact on burnout prevention really? A new study reveals modest time-saving effects.

Article • Advancing kidney disease investigation

Digital spatial profiling: new ways for diagnostic histopathology

Digital spatial profiling (DSP) is emerging as a powerful technology in helping specialists investigate complex kidney disease, according to a leading expert. Professor Renate Kain believes spatial profiling adds significantly to systems biology approaches that will transform diagnostic histopathology. However, she warns that the adoption and effective utilization of the technique is critically…

News • Between AI law and patient reality

Do patients have a right to understand health AI?

"Why did the computer conclude this?": Patients increasingly scrutinize the impact of AI on medical diagnostics. A new article explores the tension between transparency and legal frameworks.

News • Microscopic medicines

Intrabodies unlock new treatments for MND and Alzheimer's

New treatments for neurodegenerative diseases like Alzheimer’s, Parkinson’s, and motor neurone disease (MND) could be unlocked thanks to microscopic medicines called intrabodies.

News • The rise of deepfake medical imaging

Real or fake? AI-generated X-rays have become suprisingly convincing (Quiz yourself!)

Neither radiologists nor multimodal large language models (LLMs) are able to easily distinguish AI-generated “deepfake” X-ray images from authentic ones, according to a new study.

News • Histopathology tool

New X-ray technique could transform tissue diagnosis

A new X-ray imaging technique could transform how hospitals analyse tissue samples, potentially speeding up diagnoses and improving outcomes for patients, a new study shows.

News • Impact on longevity and cancer

“The thymus has been overlooked for decades”

Two new studies explore the role of the thymus – a small organ in the chest, and possibly a missing piece in explaining why people age differently, and why cancer treatments fail in some patients.

Article • Developments in brain imaging for psychiatry

Radiologists explore new frontiers of the mind

Psychiatrists and neuroimaging experts gathered to explore one of the last remaining frontiers in radiology – the human mind – at the annual meeting of the French Society of Radiology (JFR) last October in Paris. Their conversation oscillated between neurons and narratives, algorithms and emotions – a vivid reminder that psychiatry is not only about understanding the brain, but about…

News • Quantification of arterial calcifications

AI predicts heart disease risk from mammograms

Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.

Article • Support for clinicians beyond initial diagnosis

Enhancing breast imaging with AI

Artificial intelligence has a critical role to play in supporting clinicians beyond the initial breast cancer diagnosis. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, Professor Gerald Lip outlined how AI can enhance the performance of modalities such as ultrasound and MRI in supporting clinicians as they plan and deliver treatment for patients.

Article • Radiology workflow at RSNA 2025

Time-saving tactics for overburdened radiologists (without AI)

Radiologists worldwide are facing mounting workloads, with exam volumes rising and workforce numbers struggling to keep pace. At the RSNA 2025 annual meeting in Chicago, a dedicated session explored how departments can improve efficiency using tried-and-tested methods – without waiting for artificial intelligence to arrive.

News • Liquid biopsy screening tool

AI metabolomics platform to advance pancreatic cancer early diagnosis

Pancreatic cancer remains a diagnostic challenge, due to unspecific early symptoms and lack of effective screening tools. A novel AI metabolomics platform could help overcome these issues.

News • Biomarker-agnostic detection

Electronic nose uses AI to “smell” ovarian cancer

Using machine learning, researchers have trained an electronic nose to detect early signs of ovarian cancer in the blood. The method could eventually be used to find many different cancers.

News • AI-powered care operations

AI triage to cut NHS waiting lists by 70%

Sword Intelligence applies AI to triage and care coordination, reporting a 70% cut in musculoskeletal waiting lists and a fourfold boost in operational capacity.

Article • AI and interdisciplinary imaging take centre stage in Vienna

ECR 2026 to cast “Rays of Knowledge” on the future of radiology

Few medical specialties evolve as rapidly as radiology. Continuous advances in imaging technology, the integration of artificial intelligence, and growing interdisciplinary collaboration demand that professionals stay at the forefront of knowledge. The European Congress of Radiology (ECR) 2026 in Vienna embraces this reality with its motto “Rays of Knowledge”.

News • Gait biomechanics analysis

AI predicts success of hip surgery

Researchers at Karlsruhe Institute of Technology (KIT) have developed an AI model to predict how well patients with hip osteoarthritis will be able to walk again after an operation.

News • AI detects unseen connection

Insulin resistance identified as risk factor for cancer

Not just linked to diabetes: For the first time, researchers demonstrated that insulin resistance is a risk factor for 12 types of cancer, including uterine and breast cancer.

Article • Digital pathology and AI

Finding new biomarkers to match the biological complexity of cancer

Advances in artificial intelligence and multimodal data integration are poised to revolutionise cancer diagnostics – but significant challenges remain before these technologies can be routinely deployed in clinical practice. Professor Manuel Salto-Tellez outlined the steps needed to bridge the gap between complex tumour biology and the relatively simple biomarkers currently available, speaking…

News • Digital tool for point-of-care screening

AI stethoscope shows promise in detecting heart disease

An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.

News • Recovery in patient's home

Telerehabilitation for “cognition-first” approach to stroke rehab

Most stroke rehabilitation programs are urban-based and focus on physical symptoms, leaving rural patients underserved and cognitive issues under-addressed. A new approach aims to tackle both gaps.

Article • From observation to action

The rise of agentic AI in pathology

Computational pathology is becoming increasingly important in helping deliver precision medicine to a wider range of patients. Experts at the 37th European Congress of Pathology in Vienna discussed how algorithms can optimise laboratory workflows, generate stronger evidence for molecular tumour boards, and enhance clinical trial design.

News • Exploring metastatic potential

AI predicts risk of cancer metastases

Why do some tumours spread while others remain localised? Using colon cancer cells, scientists pinpointed the criteria that influence metastasis risk, and identified a way to assess its probability.

Article • From promise to practice

Healthcare AI's trust issues (and what it takes to overcome them)

The promise of AI in healthcare is enormous – however, most who have actually worked with today's models will agree that the technology is not quite there yet. At MEDICA, a panel of AI experts and healthcare leaders tackled a fundamental question: What stands between AI's current state and its potential as a reliable healthcare companion? The discussion revealed that technical…

News • Neurosciences

New insights on the onset of Huntington's disease

Why does Huntington’s disease begin at very different ages? Using advanced AI techniques, neuroscientists from the University of Barcelona found a way to better answer this question.

News • Dysarthria solution

Wearable device gives stroke patients their voice back

A wearable, comfortable and washable device could help people regain the ability to communicate naturally and fluently following a stroke, without the need for invasive brain implants.

News • Screening for specific pregnancy complications

AI model to advance maternal health in low-resource settings

Siemens Healthineers, with funding from the Gates Foundation, plans to develop artificial intelligence (AI) to enable earlier prediction of pre-eclampsia and anemia in low-resource settings.

Article • Implementation of clinical artificial intelligence

One AI, one radiologist: How a Swedish hospital beat breast screening backlogs

When radiologists at Stockholm's Capio Sankt Görans Hospital began working evenings and weekends to clear mounting backlogs, it became clear that something had to change. The solution? Replacing one of the two radiologists traditionally assigned to read breast cancer screenings with artificial intelligence (AI). The results: fewer false positives, more cancers detected, and radiologists…

News • 'Islands of consciousness' in ICU patients

Tool opens new way to detect awareness in unresponsive patients

To better diagnose patients who appear unconscious in ICUs, and predict their recovery potential, researchers developed a tool that integrates multiple modalities for analyzing consciousness.

News • Clinically validated framework

AI helps detect kidney cancer faster

A novel machine-learning-based solution analyses CT images and helps radiologists detect both malignant and benign lesions in the kidney more quickly and reliably.

News • Tissue sample analysis

Demographic bias creeps into pathology AI, study finds

A sample of inequality: A new study shows that AI models can infer demographic information from pathology slides, leading to bias in cancer diagnosis among different populations.

News • Rapid diagnostics

New system simultaneously detects antibiotic resistence and virulence of K. pneumoniae

Now, a research team has developed a novel diagnostic approach that enables the rapid and simultaneous detection of both antibiotic resistance and high virulence in Klebsiella pneumoniae.

Article • Advancing risk stratification

AI in breast cancer screening: From mammograms to personalised risk prediction

Artificial intelligence is reshaping how clinicians identify women at higher risk of breast cancer – and may soon guide decisions on supplemental screening and treatment. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, two experts presented their latest findings on AI-driven risk stratification and response prediction.

News • Identification of high-risk CAD patients

FFR-CT: AI tool predicts heart attack risk in angina patients

Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.

News • AI-assisted diagnostics

Two Dutch hospitals implement AI for lung nodule detection on chest X-rays

Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating artificial intelligence (AI) from Qure.ai into their chest X-ray workflows.

Article • Radiology meets literature at JFR 2025

The art of healing with words

At the 2025 Journées Francophones de Radiologie (JFR), novelist, diplomat, and physician Jean-Christophe Rufin took the stage to remind an audience of radiologists that medicine, at its core, is a human story – one that needs to be told, felt, and shared. Beneath the cold light of MRI scanners and the hum of technology, he reintroduced something fragile yet essential: empathy.

News • Optiq AI

AI-powered system for interventional imaging presented at RSNA 2025

At this year’s RSNA annual meeting, Siemens Healthineers is presenting its new AI-powered solution for imaging procedures, called Optiq AI, designed to deliver higher quality low-dose images.

News • Pharmaceutical Automation and Digitalisation Congress

Navigating the Digital Shift with AUTOMA+ 2025

What have been the latest developments in digital R&D and lab automation, patient-centric design, digitalised manufacturing and supply chains? Highlighting the rise of a smart pharma, AUTOMA+ 2025 took place in Vösendorf, Austria on 24-25 November. The event was a dynamic interplay of technology, solutions and forward-thinking ideas.

News • 3D printed blood vessels

'Artery on a chip' could unravel secrets of strokes

Researchers have developed a new 3D printing technique for blood vessels on glass. This could be a tool for studying stroke causes and testing patient-specific medications without animal testing.

Article • Security’s double-edged sword

Building cyber resilience in the age of AI

Artificial intelligence (AI) is transforming healthcare, but it also introduces new cybersecurity risks that challenge IT teams. While AI streamlines diagnosis and workflow, cybercriminals are leveraging the same technology to infiltrate hospital systems. Experts addressed these emerging threats and strategies for resilience during the ‘Maximising What You Have for Cyber Resilience – Ask the…

News • Personalized training

Study explores potential of AI in transforming medical education

A new study shows how AI could transform medical education, while calling for stronger collaboration across schools, hospitals, and regulators to make it safe, responsible, and effective.

News • “Limited and unpredictable” ability

AI and apps not enough to solve mental health crisis, experts warn

People facing a mental health crisis increasingly turn to AI chatbots and wellness apps for emotional support. However, these tools alone do not have what it takes, according to a new health advisory.

News • Foreign body aspiration

AI spots hidden objects lodged in patients' airways on CT

In a CT scan of the lungs, accidentally inhaled objects can be extremely subtle and easy to miss, even for experienced clinicians. A new AI model acts as a “second set of eyes” to help detect hidden cases.

Article • Utilizing new strengths, fixing old weaknesses

Ultrasound update for organ imaging

Has organ imaging using ultrasound arrived at the same level as cross-sectional imaging? At the annual conference of the German Society for Internal Medicine (DGIM), PD Dr Corinna Trenker presented new technological developments and their diagnostic significance. Despite numerous innovations such as multiparametric protocols and AI support, she made it clear that the human factor remains one of…

News • Early thoracic malignancy screening

Developing a breath test for lung cancer with biosensors and AI

A biosensor that identifies volatile organic compounds (VOCs) in exhaled breath could be used in conjunction with AI to detect various thoracic cancers including lung cancer.

News • Transformer-based learning from radiomics and clinical data

New AI model improves prediction of breast cancer recurrence

An international team has developed an AI model that brings together medical imaging data and clinical information to calculate the risk of breast cancer tumour recurrence more accurately.

News • AI in cancer care

New 3-tier framework sets safety standards for LLMs in oncology

Underscoring the growing role of large language models (LLM) in cancer care, ESMO released the first structured set of recommendations to bring AI language models into oncology safely and effectively.

Article • Expert perspectives from ESC 2025

Faster, smarter, deeper: how new technologies redefine cardiac imaging

New cardiac imaging techniques continue to uncover the secrets of the heart for cardiologists who know how to use them. At the ESC 2025 Congress in Madrid, four experts explored cutting-edge developments across different modalities. These novel approaches provide a promising glimpse of what the next generation of cardiac imaging is capable of.

News • Focus on adipose tissue metabolism

Endometrial cancer: visceral fat may drive aggressiveness

Using PET/CT imaging, researchers discovered that the biological activity of visceral fat may drive the progression of endometrial cancer, offering a novel angle for diagnosis and treatment.

News • Emergency medicine

Triaging patients: no job for AI (alone)

Overcrowded EDs and the escalating workload of nurses are pressing challenges in emergency medicine. While AI might not solve these problems, it could help staff mitigate them, new research suggests.

Rethinking Healthcare: AI as a Catalyst for Change

Healthcare stands at a crossroads. With an impending shortage of 11 million healthcare workers by 2030 and millions dying annually from poor-quality care, the industry desperately needs transformation. Dr. Alex Ng from Tencent Healthcare explores how artificial intelligence is emerging as a powerful catalyst—not to replace human expertise, but to amplify it.

News • Focus on methylation changes

Detecting tumour DNA in urine to identify bladder cancer

Researchers from the University of Birmingham’s Bladder Cancer Research Centre have found a new way of detecting tumour DNA in urine to identify bladder cancer.

News • Remote paediatric care

Asthma in children: study shows benefits of at-home monitoring

Children with asthma using at-home monitoring are around half as likely to visit the ED or be hospitalised, compared to those only receiving care from their medical team, new research shows.

News • Estimation of nodule malignancy risk

Lung cancer screening: AI to reduce false positives

Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.

News • Educational and research collaboration

Ultrasound and 3D planning to enhance surgical training

Imaging specialist Fujifilm Healthcare Europe and the research and training institute IRCAD France have announced a collaboration focused on surgical education and research programs.

News • Hurdles for AI implementation

What's holding back the digital transformation of NHS healthcare

Digital transformation, including AI, is key to improving healthcare services - but this may be easier said than done: A new UK study identifies hurdles for AI implementation in NHS hospitals.

News • AI-supportred tissue engineering

3D bioprinting to solve donor organ shortage

To tackle the shortage of donor organs, researchers have developed a 3D printer that doesn’t just print implantable tissues, it also sees and even co-designs parts of organs.

News • Integrating technology into care

AI can help older adults gather more accurate blood pressure readings at home

Use of an AI voice agent to prompt self-reported blood pressure readings may help improve accuracy of at-home blood pressure measures and patient outcomes in older patients with hypertension.

News • Reliability of mammography analysis

AI still misses 14% of advanced breast cancer cases, study finds

AI may be effective at detecting advanced breast cancer in mammograms, but current models still lack reliability. New research from Korea suggests that up to 14% of invasive cases are missed.

News • Pharmaceutical Automation and Digitalisation Congress

AI in Action: Transforming Pharma Industry with AUTOMA+ 2025

The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 is a hub for decision-makers and digital innovators for exchanging insights on the integration of AI within pharma operations. To bring on the networking discussions, the Congress is held in Vösendorf, Austria on November 24-25.

News • New technological approach

Surgical premiere for 3D printed custom spine implant

A novel procedure at UC San Diego Health uses a combination of artificial intelligence and 3D printing to develop a customized implant for the spine during fusion surgery.

Article • From H&E to multiplex

Self-learning AI: a boost for digital pathology

Self-learning artificial intelligence approaches are offering a number of advantages for digital pathology when compared to established AI options. The benefits, which range from greater speed and capacitive flexibility to ‘wholly interpretable’ analyses, were outlined at the Digital Pathology and AI Congress in London.

AI-powered solutions for pathology

As digital transformation accelerates across healthcare, AIRA Matrix stands at the forefront of artificial intelligence innovation in pathology. The company will showcase its comprehensive portfolio of AI-driven diagnostic and analytical solutions at the upcoming European Congress of Pathology in Vienna this September.

Article • Societal and ethical impacts explored at ECR 2025

How AI is transforming radiology – and radiologists

Patient communication facilitated by chatbots, image quality optimized by machine learning: Artificial intelligence (AI) is entering radiology at breakneck speed, transforming the specialty almost beyond recognition. So, how will the future of diagnostic imaging under AI look like, and which role will humans still play in it? At the ECR congress in Vienna, experts explored the societal and…

News • Reducing clinician burden and burnout

Documentation takes the joy out of medicine – AI scribes could bring it back

AI-driven scribes that record patient visits and draft clinical notes for physician review may lead to significant reductions in physician burnout and improvements in well-being, a new study finds.

Henkjan Huisman

Better and more affordable care through medical imaging AI

Henkjan Huisman has been appointed Professor of AI Guided Imaging at Radboud UMC/Radboud University. With a focus on AI applications in medical imaging, his goal is to provide better and more affordable care.

News • Smart glasses to support the ears

AI-powered lip-reading to advance hearing aids

To help people with hearing loss, researchers develop an AI-powered lip-reading camera that translates lip movements into sound. The device could also work in areas with a lot of background noise.

News • Adenoma detection rate

Using AI support makes endoscopists lose skills, study finds

AI tools for adenoma polyp detection are designed to help increase the accuracy of colonoscopies. However, a new study finds that using AI may lead to loss of detection skills in health professionals.

Article • Advances in mobile monitoring

Wearable technology transforms laboratory medicine

Remote monitoring via microfluidic platforms, AI-assisted sensor systems, and more: Attendees of the Labmed Forum at Medica saw impressive examples on how wearable technology is becoming a transformative force in laboratory medicine to improve real-time monitoring of patients, covering widespread conditions such as diabetes, asthma and COPD. With an emphasis on remote monitoring, devices are…

News • Chronic obstructive pulmonary disease

One step closer to COPD population screening

A multicenter study involving leading hospitals across Spain, has confirmed that people with COPD show altered levels of specific metabolites in their blood.

News • Neurosurgical simulation performance

Brain surgeon training improved by AI-enhanced human instruction

New research finds that neurosurgery students receiving AI-augmented, personalized feedback from a human instructor have better surgical performance, risk management and skill transfer.

News • Microsatellite instability

Predicting tumor MSI status for precision cancer treatments

Microsatellite instability-high (MSI-H) tumors are associated with better clinical outcomes. A novel AI model for accurate MSI prediction could help battle gastric and colorectal cancers.

News • Proportional assist ventilation (PAV+)

Personalized ventilation to help ICU patients breathe

A new ventilation mode called proportional assist ventilation (PAV+) could improve outcomes for patients in the intensive care unit (ICU) who require help breathing, a new study finds.

News • Raman spectroscopy and interpretable machine learning

AI-assisted tissue differentiation for smart surgical tools

By identifying the unique biological signatures that guide AI tissue classification, new research lays the foundation for smart surgical tools with the added feature of biomolecular-level precision.

News • Proteomic-based score

AI measures tumor ‘stemness’ to predict cancer aggressiveness

A new AI-based tool measures cancer aggressiveness by analyzing the ‘stemness’ of tumors – their similarity to pluripotent stem cells. This could pave the way for new therapies.

News • "An additional set of eyes"

Breast cancer diagnosis: AI decision support improves radiologists' performance

By directing radiologists' attention to potentially suspicious areas, AI can help spot more lesions indicative of breast cancer in mammograms. This is suggested by a new study.

Article • Medical Taiwan 2025: Company and product showcase

Transformative health solutions on display in Taipei

At Medical Taiwan 2025, manufacturers attracted attendees with a wide range of innovations. We took a closer look at some of the most exciting companies and their products on display at the medical, health and care expo.

News • Neural network screening tool

AI-enhanced ultrasound early detects cardiac amyloidosis

A neural network AI has been trained to detect cardiac amyloidosis from a single echocardiogram video of the heart's apical four-chamber view and differentiate it from similar heart conditions.

Article • Digital resilience

Healthcare cybersecurity: from basics to best practices

Building resilience for digitally driven healthcare: At the HETT (Healthcare Excellence Through Technology) North conference in Manchester, leading IT specialists highlighted the need for high levels of education, awareness and vigilance among healthcare staff in the fight to protect systems against cyberattack.

News • Photoacoustic computed tomography

PACT: AI-assisted edge in breast imaging

A new technique called photoacoustic computed tomography (PACT) offers a breast imaging alternative without the discomfort, high costs, or risk associated with the conventional evaluation methods.

News • Multimodal AI for ventricular Arrhythmia Risk Stratification

Predicting sudden cardiac arrest with MAARS

Analyzing heart imaging and a full spectrum of medical records, a new AI tool can reveal previously hidden information about a patient’s heart health, including predictions of sudden cardiac arrest.

Video • Empathetic avatar

Virtual AI receptionist “Cassie” to improve healthcare communication

A virtual medical receptionist named “Cassie,” developed through research at Texas A&M University, is designed to transform the way patients interact with health care providers.

News • MRD assessment

Liquid biopsy to detect breast cancer relapse up to 5 years in advance

Newly developed technology can detect breast cancer relapses up to five years in advance. This advance could represent a turning point in post-treatment follow-up, the researchers hope.

Article • Diagnostic and care support

Atrial fibrillation: digital technology to the rescue?

Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor data for better screening, and more: Digital technologies hold great potential to improve diagnosis and treatment of patients with atrial fibrillation (AF). At the ESC 2024 cardiology congress in London, four experts explored the benefits of new solutions and pointed out…

Innovative hybrid OR imaging: first Endovascular Navigation integrated into a mobile C-arm

Ground-breaking innovation for endovascular surgery: The new software package Endovascular Navigation supports physicians in their interventions with planning, navigation and fusion imaging.

Article • Launch of new national program

A new “impulse” for equitable lung cancer screening in France

Lung cancer is the leading cause of cancer death in the EU, yet no organized screening program exists to detect the disease before symptoms appear. This September, France will strike back with an ambitious pilot program that could boost European lung cancer screening. Professor Marie-Pierre Revel presented the details at the French Thoracic Imaging Society Spring Days in Marseille, highlighting…

News • Automated phase detection

AI video analysis for better cataract surgery

Cataracts are often treated via SICS surgery in low- and middle-income countries, which often leads to poorer results due to limited resources and training. A new AI-based tool aims to improve this.

Article • Technology applications

Medical 3D printing: from niche to mainstream

From personalized medical guides and implants to advanced surgical planning solutions: 3D printing and visualization has seen considerable growth over the past years and is already making a significant impact in healthcare. AI, cloud, and virtual/augmented reality technologies show promise to further advance the number of applications.

News • Classification of movement disorders

Tremor or myoclonus? AI helps tell them apart

Movement disorders often show overlapping symptoms, making it difficult for doctors to make the correct diagnosis. A new AI tool could help distinguish between different disorders, such as tremor and myoclonus.

Article • Technology impact in emergency medicine

Emergency radiology reports – AI to the rescue?

As Emergency Departments (EDs) get ever busier, focus has fallen on the role artificial Intelligence (AI) can play in supporting patients and clinicians in delivering urgent care. The topic took centre stage in a session looking at the ethics of AI in the ED at the annual congress of the European Society of Emergency Medicine (EUSEM) in Copenhagen.

News • AI-assisted platelet imaging

Monitoring blood clotting in real-time

Researchers have found a way to observe clotting activity in blood as it happens — without needing invasive procedures. This could open the door to better treatment of coronary artery disease (CAD).

News • Patient data extraction, manipulation, poisoning

Experts highlight LLM cybersecurity threats in radiology

Integration of large language models (LLMs) in healthcare is still in its early stages, but expected to expand rapidly. Now, researchers point out potential cybersecurity vulnerabilities in radiology.

News • CT-based deep learning-driven tool

Liver cancer segmentation and detection with 'SALSA'

Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.

News • Analysis of ultrasound scans

Using AI to better detect high-risk pregnancy

Using AI to analyse ultrasound scans can detect up to 35% more risk pregnancies than scans performed by healthcare professionals without AI decision support, according to new results.

News • Reactions to noise as biomarkers

Tinnitus diagnosis via AI-powered face scan

Pupil dilation and involuntary facial movements could provide a window into diagnosing tinnitus. A new method uses AI to detect minuscule reactions to various sounds and noises.

News • Hybrid imaging

PET/MR update for added value in theranostics

Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach. Andreas Schneck, Head of the MRI Division at Siemens Healthineers, talks about the new system, which was also presented at the European Congress of Radiology (ECR) in Vienna, and its advantages in…

News • Faster, more accurate treatment

Basal cell carcinoma: AI support for Mohs surgery

Dutch researchers have developed an AI tool to support Mohs surgery, a precise but time-consuming procedure to treat the most common form of cancer in the Netherlands: basal cell carcinoma.

News • Patient history analysis

AI helps GPs detect lung cancer 4 months earlier

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier with an algorithm created by researchers based on the data of more than half a million patients.

Dr Ari Melnick

A new chapter in leukaemia and hematologic disease research

Dr Ari Melnick has been appointed the new Director of the Josep Carreras Leukaemia Research Institute by the Board of Trustees. The institute specialises in biomedical research and precision medicine in the field of leukaemia and other hematologic malignancies.

Article • Exploring imaging advances and their impact on radiographers

‘The future of breast MRI is bright’

Breast MRI has emerged as a powerful diagnostic tool, particularly for women with dense breast tissue where traditional mammography faces limitations. In her presentation at ECR 2025, radiographer Hanna Kalliomäki highlighted several technological advances transforming breast cancer detection and diagnosis. From time-saving abbreviated protocols and AI-assisted analysis to contrast-free…

News • Trust in technology

Patients open to AI support in mammography

Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.

News • Synthetic fibrosis distributions

AI generates ‘scarred hearts’ for better cardiac treatments

Researchers have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients.

News • Brain MRI analysis

AI tool tracks effectiveness of multiple sclerosis treatments

A new AI tool can extract key information from brain MRI scans of multiple sclerosis (MS) patients. This could be used to improve disease and treatment response monitoring.

News • Arrhythmia prediction

Using AI to prevent sudden cardiac death

A network of artificial neurons imitating the human brain could help identify patients at risk of a serious arrhythmia from an ECG and avoid many cases of sudden cardiac death, a new study suggests.

Article • Digital pathology discussion panel

The AI tools pathologists want and need

The evolving role of AI tools in digital pathology was explored at an open discussion during the annual Digital Pathology and AI Congress in London with a high-level panel of practitioners looking at current and future technology options. The panel of pathologists, scientists and academics from Europe and the USA assessed the tools they currently use and are available to them, and those they…

Bayer at ECR 2025: Less dose, more AI and sustainability

Contrast agents, AI and circular economy: Bayer presented new developments for radiology at the ECR Congress. Particular emphasis was placed on digital assistance systems and sustainability.

News • Neural network-based assessment

AI calculates biological heart age, cardiovascular risk, from ECG data

By using AI to analyse ECG data, researchers created an algorithm to predict the biological age of the heart. This could be used to identify those most at risk of cardiovascular events and mortality.

News • Physicians' dilemma

Who is to blame for errors of medical AI?

Assistive AI systems are designed to ease the workload of physicians. However, implementation of the technology could actually worsen challenges related to error prevention and burnout, experts warn.

Article • Philips at ECR 2025

Enhancing the “eye of medicine”

A greater emphasis on AI and sustainability, new approaches to mitigating staff shortage and more: At the European Congress of Radiology (ECR) 2025 in Vienna, Philips showcased its approaches to several critical issues in diagnostic imaging. The global healthtech company presented solutions addressing today's healthcare challenges while aligning with the congress's "Planet…

News • Review of colonoscopy CADe systems

AI for colon cancer detection: "Right now, this is version 1.0. We need version 4.0”

A rigorous review of evidence showed that AI-assisted technology helps identify colorectal polyps. However, its impact on preventing colon cancer remains unclear.

News • Deep learning-based CVD risk prediction

Mammography and AI open a new window into heart health

New findings show how AI-assisted mammography may not only reveal breast cancer, but can also assess calcium buildup in the arteries within breast tissue—an indicator of cardiovascular health.

Prof. Pinar Bor

Focus on women’s quality of life

Pinar Bor is a clinical professor of gynecology at the Department of Clinical Medicine at Aarhus University, where she conducts research aimed at improving the quality of life for women suffering from prolapse and urinary incontinence - conditions that often arise after childbirth and can have long-term consequences.

Shaping the future of medical imaging

For Esaote, a leading Italian innovator in medical imaging - ultrasound, dedicated magnetic resonance and medical IT - the mission is to develop new technologies that can help advance diagnosis and improve patient care. Esaote has always leveraged continuous innovation as the key driver of its business strategy. This approach is also embodied in its three business areas.

News • Using pulsatile cranial expansion waveforms

New sensor registers intracranial pressure non-invasively

A novel sensor placed on a patient’s head registers nanometric expansions of the skull in each cardiac cycle in real time to measure intracranial pressure more accurately and non-invasively.

News • Responsiveness of machine learning models

Will an AI recognize patient deterioration in the ICU? Not quite yet

Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.

News • Research on soft wearable actuators

Artificial muscles for tremor suppression

To suppress tremors, such as those from Parkinson's disease, scientists equipped a biorobotic arm with artificial muscles, which compensate for the back-and-forth movement of the tremor.

News • Uncovering human prejudice

How AI can help detect and reduce bias in emergency medicine

Generative AI can detect and quantify cognitive biases of human caregivers during medical emergency situations. This way, LLMs could help reduce the impact of bias based on gender, age, or ethnicity.

News • LDCT rule-out

AI shows potential for workload reduction in lung cancer screening

A new study reveals that AI can accurately rule out negative low-dose CT (LDCT) scans, potentially reducing the workload of radiologists in lung cancer screening by up to 79%.

News • From the heart to the mind

'Dorian Gray' to uncover link between CVD and MCI

Around one third of people with cardiovascular disease (CVD) also have mild cognitive impairment (MCI), yet the condition is often undiagnosed. A new project aims to untangle this MCI-CVD connection.

News • AI analsis for early detection

Diabetes: eyes as a window to kidney health

A new AI-based approach can predict whether people with type 2 diabetes are likely to develop chronic kidney disease years before symptoms arise, allowing for earlier intervention and treatment.

News • Deep and ensemble learning improve performance

New AI tool surpasses previous methods in colorectal cancer tissue analysis

Researchers developed an advanced AI tool for automatic analysis of colorectal cancer tissue slides. The new model outperformed all predecessors in the classification of tissue microscopy samples.

News • Longitudinal image analysis

AI tool detects changes in series of medical images

Researchers developed an AI-based system which has has a broad ability to identify even subtle differences between medical images taken at different times, and to predict related outcome measures.

News • Correlated diffusion imaging

AI makes breast cancer “glow” in MRI images

A new AI-enhanced technique makes breast cancer tissue “glow” on MRI scans. This not only improves breast cancer detection but also can help treat it more effectively, the researchers say.

Article • Imaging modalities for quantifying myocardial blood flow

Nuclear cardiology – a nuclear perspective on matters of the heart

Nuclear cardiology is a specialised field in nuclear medicine that evaluates the heart function to help diagnosing conditions such as coronary artery disease and to assess treatment efficacy, whilst minimising invasive procedures like biopsies. More recently, clinicians have increasingly opted for nuclear imaging over endomyocardial biopsy to diagnose cardiac amyloidosis, allowing for earlier…

News • Automated evaluation

Robot enhances side-effect monitoring after cardiac arrhythmia treatment

A newly-developed robot can detect medication side-effects in patients after heart arrhythmia treatment faster than a human doctor, while reducing the number of follow-up tests.

Article • Pioneering women in medical imaging informatics: Katherine P. Andriole

A journey from the cradle of digitization to the dawn of AI in radiology

Medical imaging has come a long way in the past four decades: Advances have been made in the digitization of images, but also towards more gender equality in a once male-dominated field. We talked with Katherine P. Andriole, Ph.D., a leading expert and one of the first women to enter the field, about the evolution of medical imaging informatics, experiences she has had, and her advice to those…

News • AI-assisted microstructure assessment

Super-resolution imaging helps predict bone fracture risk

A new AI tool creates super-resolution images showing the inner structures of bones in great detail. This can be used to better determine risk for fracture in elderly patients with osteoporosis.

News • PROLIFERATE_AI evaluates RAPIDx AI

AI keeps an eye on health AI

It takes one to know one: Researchers have developed an AI-based evaluation tool to assess how well clinical AI tools perform in the hospital.

News • Trial results surpass expectations

AI enhances breast cancer screening performance

AI-supported screening for breast cancer can detect more cancer cases compared with traditional screening, and find more invasive cancers at an early stage, results from the MASAI trial indicate.

Article • Point-of-care diagnostics

Improving women’s health in remote regions with digital pathology

Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.

News • Paediatric research

Molecular ‘fingerprint’ of long Covid in children's blood discovered

A new study has shown that the molecular signature of long Covid can be found in blood samples of children. Using an AI tool, the researchers were capable of diagnosing the condition with 93% accuracy.

News • Automated tumor detection and segmentation

Deep learning helps detect lung cancer on CT

A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.

News • Machine learning prediction

AI opens non-surgical way to detect brain cancer metastasis

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.

News • Catheter-based approach

New method aims to "steam away" prostate cancer

Steam eliminates wrinkles and germs, but can it destroy cancer cells too? A multisite clinical trial explores the potential of a water vapor system using steam to kill prostate cancer cells.

News • Digital health competence education

SUSA: developing sustainable healthcare across Europe

"This is a pivotal moment for European healthcare education," says project leader Minna Isomursu about the start of SUSA, a collaboration to advance sustainable practices in healthcare.

News • Results from the PRAIM study

Mammography screening enhanced by AI

Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.

News • Study on productivity and quality

Robots in nursing homes help improve staff retention, patient care

A new study on the future of work in nursing homes finds that robot use is associated with increased employment and staff retention, improved productivity and a higher quality of care.

News • Checkpoint inhibitor immunotherapy efficacy

AI tool uses routine blood tests to predict cancer immunotherapy response

Researchers have developed an AI-based model to better predict whether cancer patients will benefit from immunotherapy — using only routine blood tests and clinical data.

Article • Keynote on integrated diagnostics

Predicting – and shaping – the future of modern pathology

Complex diseases could require complex biomarkers for accurate diagnosis in the years ahead, according to a leading pathologist. In a keynote address to the 36th European Congress of Pathology in Florence, Italy, Professor Manuel Salto-Tellez highlighted this as one of the major future challenges for the discipline. However, he also believes pathologists will sit at the core of modern medicine.

News • DTI reveals intraepithelial neoplasia

Detecting pre-malignant pancreatic lesions with diffusion tensor MRI

In a new study, researchers have shown, for the first time, that a particular form of MRI, called diffusion tensor imaging, is capable of robustly detecting pre-malignant lesions in the pancreas.

News • Misleading medical analyses

AI “predicts” beer drinking based on knee X-rays – why this is not only wrong, but dangerous

Can an AI determine whether or not a person drinks beer by looking at their knee X-rays? It can't – but the claim shows why “shortcut learning” is such a dangerous mechanism in medical AI.

News • Expanding brain imaging

Portable, low-field MRI shows promise for Alzheimer's diagnostics

A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.

News • LLM-based mental health detection

AI model could help prevent suicide in hospital patients

Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.

Article • AI-assisted image analysis

More accuracy in brain tumour segmentation

Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image data.

News • R&D platform

Integrating AI into clinical workflows for medical imaging

To advance the transition of AI from research to clinical application, Nvidia announced that Siemens Healthineers has adopted MONAI, an open-source medical imaging framework.

Article • Artificial intelligence meets internal medicine

Medical AI: Enter ‘dea ex machina’

In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a universal problem solver for internal medicine? At the Annual Congress of the German Society of Internal Medicine (DGIM), Dr Isabella Wiest explored the potential – and limitations – of AI helpers.

News • Prensented at RSNA 2024

MRI platform expands on patient comfort and sustainability

Siemens Healthineers expands its 1.5 Tesla Magnetom Flow. Platform to include a model with a 70-centimeter bore with the introduction of a new magnetic resonance imaging (MRI) scanner at RSNA 2024.

News • Tackling bacterial infections

Personalised phage therapy as alternative to antibiotics

The current rise in antibiotic resistance is once again sparking interest in phage therapy. Now, scientists developed a new tool that recommends the best possible phage cocktail for a given patient.

News • Personalised antimicrobial susceptibility testing

AI to tackle antibiotic resistance in UTI treatment

New research has shown that using artificial intelligence (AI) can improve how urinary tract infections (UTIs) are treated, and help to address antimicrobial resistance (AMR).

News • Influence in diagnostic decisions

Too much trust in AI? X-ray boxes may lead radiologists astray

When an AI advisor points out an area of concern in a chest X-ray, radiologists are sometimes all too eager to follow their lead, a new study finds. This may lead to incorrect diagnostic decisions.

Mindray Unveils the Premium Ultrasound System Resona A20

Mindray, one of the world's leading developers and providers of advanced medical imaging devices and solutions, launched Resona A20, a premium ultrasound system, at EUROSON 2024 in Naples, Italy.

News • Sustainable use of generative AI

Large language models in healthcare: shorter prompts, less emissions?

A new study investigating the impact of AI in healthcare shows that using LLMs to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.

News • Interstital lung disease

Lung cancer: PET/CT imaging analysis with AI predicts immunotherapy side effects

PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, a serious side effect of immunotherapy in lung cancer, a new study shows.

News • Tradefair programme overview

Don't miss: Hot issues, current trends and innovations at the Medica 2024 Labmed Forum

Skills shortages and digitalization, trends in cardiology and oncology, future prospects in laboratory medicine, and healthy aging – these pressing topics are at the forefront of discussions at this year’s Medica Labmed Forum.

Article • PACS administrators as quality control monitors of algorithms

The “watchdogs” of AI radiology tools

Radiology AI products are a whole new world. So is running them safely and efficiently in production. At the 2024 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, an expert outlined how new skills and resources are needed to use these AI tools – and how PACS administrators could evolve their position to fit this important role.

News • Tradefair programme overview

Don't miss: Trends and innovations at the Medica 2024 Health IT Forum

How can innovations help to master challenges and demands in healthcare? This central question will be addressed at the Medica Health IT Forum, an established part of the programme at the trade fair.

News • Predicting bloodstream infections

AI to tackle antimicrobial resistance, sepsis, in the ICU

UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.

News • Image analysis for tissue classification

Endometriosis: Hyperspectral images to simplify surgery

Early and precise diagnosis of endometriosis is crucial for women's health and quality of life. Researchers are using hyperspectral imaging and AI to improve medical care for those affected.

AI making earlier detection of colorectal cancer possible

Early detection is crucial for effective treatment of colorectal cancer, but the initial stages are easily missed during endoscopy screenings. With GI Genius, Medtronic presents an AI-powered tool to help detect precancerous lesions in real-time. In an upcoming large-scale trial, the intelligent endoscopy module will demonstrate its benefit in the clinical context.

Article • Transformative technology

Debating the case for AI in pathology

Artificial Intelligence (AI) remains a divisive topic within the discipline of pathology with a range of opinions over its current value and applicability in clinical settings. While most experts agree that the technology will not replace pathologists, it might still spell bad news for those who do not embrace AI in their daily practice. On the other hand, reservations persist about whether…

Article • Emergency departments voice concerns

Understaffed and overcrowded: survey highlights ED safety fears

A survey of emergency medicine practitioners across Europe has highlighted major concerns over safety and overcrowding in Emergency Departments (ED). Understaffing, too few doctors and the risk of burnout were also among the issues highlighted in the Europe-wide survey by the European Society of Emergency Medicine (EUSEM). While AI technology may help alleviate some of these issues, its…

News • Improved image quality, reduced radiation dose

Benefits of deep learning reconstruction in paediatric imaging

Recent developments in deep learning techniques are enhancing clinical imaging quality and reducing radiation exposure for patients while also maintaining diagnostic accuracy. The latest AI (artificial intelligence) component to clinical imaging – referred to as deep learning reconstruction (DLR) – is having a particular benefit in paediatric imaging, according to Dr Samuel Brady from…

News • Transformation study

Turning labs into “discovery factories” with AI and robotics

Increasing implementation of robotic automation and AI will speed up scientific progress in science laboratories, according to a new study. The experts outline this process across distinctive levels.

Celebrating molecular imaging milestones across Europe

United Imaging launches the uMI Panvivo, the uMI Panorama GS and Nuclear Medicine AI Solution at EANM, and announces strategic partnerships, reinforcing its commitment to advancing molecular imaging in Europe and beyond.

News • Real-time drug identification

Wrong meds? A wearable AI camera detects what's in a syringe or vial

A newly-developed wearable camera system is designed to detect potential errors in medication delivery by identifying contents of vials and syringes with the help of deep-learning AI.

News • AI efficiency

AI in everyday clinical practice: not always efficient

The study offers valuable insights into the impact of AI technologies on everyday clinical processes. Above all, however, the study calls for clearly structured future research.

Interview • AI, modern mammography, and more

Breast imaging breakthroughs presented at EUSOBI 2024

Minimally invasive surgical interventions, innovative imaging and the use of AI: At the upcoming EUSOBI congress in Lisbon, experts present and discuss the latest advances in breast imaging. We spoke with Tanja Brycker from Hologic ahead of the event about new trends in women’s health, the company’s investment in innovation and education, and what the future of mammography looks like with the…

News • BAC as predictor of cardiovascular disease

Mammograms can detect more than breast cancer, study finds

Measuring the calcium build up in the arteries of the breast, researchers have developed an AI-generated score for predicting cardiovascular disease in women from their mammograms.

News • Hematology

Using AI to predict multiple myeloma evolution

Researchers have succeeded in identifying patterns of response to treatment in patients with multiple myeloma using AI tools, which helps to accurately predict the evolution of the tumor.

News • Dynamic network analysis

AI unlocks new path to personalized cancer treatments

A US-Swiss team leverages AI and molecular simulations to uncover new pathways for precision cancer treatments, paving the way for more effective, personalized therapies.

News • Under-diagnosed condition

AI-enabled stethoscope helps detect pregnancy-related heart failure

An AI-enabled digital stethoscope could help doctors identify twice as many cases of heart failure during pregnancy compared to regular obstetric care and screening, acording to a new study.

Article • Appeal for greener imaging at radiology congress

MRI: AI enables faster, more sustainable scans

“Is ecological also economical” was the theme of a webinar organised as part of the German Radiology Congress (RÖKO). Four experts discussed how artificial intelligence (AI) can be used to reduce energy consumption and discussed whether the trend towards ever faster and better magnetic resonance imaging scanners is justified.

News • Towards personalised risk assessment

Training an AI to early detect dementia with big data

With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.

News • High-resolution cell scans

AI spots cancer and viral infections at nanoscale precision

Researchers have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.

News • Automated tissue analysis

Digital pathology: AI platform to improve lung cancer diagnosis

Cologne researchers have developed an AI-based digital pathology platform to enable extremely fast and accurate fully automated analysis of tissue sections from lung cancer patients.

News • Improving radiology workflows

AI weeds out unremarkable chest X-rays

Radiology practices have a high volume of chest X-rays without clinically significant finding, which take up a lot of time. A new AI tool could improve workflows by providing an automatic report.

Entering the French market with advanced PET/CT imaging

United Imaging, a company specializing in advanced imaging solutions, is proud to announce the first installment of their cutting-edge technology in France. The increasing number of healthcare facilities deciding to leverage the company's diagnostic solutions stands as a testament to their effort toward engineering imaging solutions that hold the potential to transform patients’ lives worldwide.

News • COLO-DETECT trial

Bowel cancer: AI improves early detection

Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.

News • Patient-written symptom descriptions

ChatGPT struggles when medical questions are put in layman's terms

Enter symptoms into ChatGPT, receive an accurate diagnosis? Research reveals that LLM AI models are not quite there yet, struggling to identify genetic conditions from patient-written descriptions.

News • Cardiovascular magnetic resonance

Non-invasive MRI technique to predict heart failure risk

New resesarch suggests a new way of assessing the risk of heart failure without invasive diagnostic tests. The method involves MRI to measure heart pressure as a predictive factor.

Article • AI is key

Lung cancer screening initiatives across Europe

Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.

News • Image analysis

Deep learning model detects prostate cancer on MRI scans

The interpretation of prostate MRI is notoriously difficult. Annotating AI shows promise to help improve diagnostic performance through increased cancer detection rates with fewer false positives.

News • Environmental impact of technology

Survey: Is medical AI taking over too quickly?

The pace of artificial intelligence (AI) adoption in personalised medicine is unsettling for great parts of the public. A new survey reflects the worried state of mind in the UK.

News • Horizon grant for "KEEPCARING"

Study to prevent burnout of surgeons and OR staff

To address the increasing stress and burnout rates among healthcare professionals, Amsterdam UMC will lead a European consortium in search of the best solutions.

News • Integration into medical decision-making

AI adept at answering medical questions – but fails to explain how

AI models perform increasingly well in answering medical questions. However, when it comes to explaining these answers, shortcomings become apparent, a new study shows.

News • Public survey on medical conditions

Cancer seen as #1 health concern, AI as solution

Cancer, dementia, heart attack: these are the medical conditions people are most worried about, according to a new UK survey. It also reveals hopes for AI in the future of cancer research and care.

News • Electronic prompt in the EHR

‘Nudging’ surgeons away from breast cancer overtreatment

Sentinel lymph node biopsies can help detect breast cancer – but not every patient benefits from the procedure. New research finds that a simple EHR prompt can prevent unnecessary surgery.

Article • Delivering more efficient healthcare

How teleoperation is changing radiology

As opportunities for teleoperations rapidly expand within radiology, the concept is being deployed across an array of modalities to deliver more efficient healthcare. A range of speakers covered the topic of ‘Teleoperations in radiology’ at ECR2024, discussing its benefits in applications in MRI, ultrasound, during the social restrictions of the Covid-19 pandemic and military use. However,…

News • Tailored chatbot

Customized ChatGPT to advance digital pathology

New research shows that the AI large language model ChatGPT can be tailored to provide accurate responses to questions about digital pathology and compile detailed results.

Article • Medical Taiwan Health & Care Expo

Record attendance for medical solutions from Taiwan

As demand for innovative healthcare solutions is at an all-time high, Medical Taiwan once again attracted a record number of visitors for its 2024 edition. The show’s organizer, the Taiwan External Trade Development Council (TAITRA), proudly reported an increase in attendance by 10% compared with the previous year. During the three-day event in Taipei, the audience was treated to a wide range…

News • Cardiac imaging analysis

AI greatly speeds up heart chamber segmentation from MRI scans

From 45 minutes to just a few seconds: A new computer model utilises AI to examine cardiac MRI scans in the four-chamber plane, potentially offering speedy and dependable heart health evaluation.

News • Imaging system in the 6G and AI era

Moving MRI to the cloud

The huge amount of data generated by modern MRI scanners presents challenges in storage, accessibility, and security. To that end, Chinese researchers have developed a cloud MRI system.

Article • Compared to laparoscopy

Robotic surgery improves colorectal surgery outcomes

When colorectal surgery was first performed with robotic assistance in 2014, the procedure was questioned about safety, efficacy, and outcomes. Today it is an established option. Well-trained surgeons use robotic surgical systems confidently. Numerous clinical studies have verified its intraoperative benefits for patients and surgeons alike, as well as very positive outcomes for patients.

Brand-new nuclear medicine department equipped with advanced Total-Body PET/CT system

The new Nuclear Medicine Department of the San Pietro Fatebenefratelli Hospital was inaugurated in Rome. The Department was inaugurated with the online intervention of Health Minister Orazio Schillaci and in the presence of Maria Tripodi (Undersecretary at the Ministry of Foreign Affairs and International Cooperation), Antonello Aurigemma (President of Lazio Regional Council).

News • Low field imaging

0.05 Tesla MRI: When less is more

A whole-body MRI scanner with a compact 0.05 Tesla permanent magnet has been developed that operates on a standard wall power outlet without radiofrequency or magnetic shielding cages.

News • Biomarkers enhance early detection

Parkinson's: blood test predicts disease up to seven years before symptoms

A novel blood test shows promise to predict Parkinson's disease in risk patients up to seven years before the typical motor symptoms appear.

News • Combined ESR and CBC/DIFF

Horiba launches new compact hematology analyzers

Analytical and measurement technology specialist Horiba has expanded its compact hematology instrument range with the launch of new models with Erythrocyte Sedimentation Rate (ESR) on board.

Article • Addressing diagnostic backlogs

Harnessing the power of AI for women's health

Although the Covid-19 pandemic is behind us, healthcare facilities continue to experience workflow challenges and resource constraints impacting women’s health and a patient’s ability to receive a timely diagnosis. Clinical specialties like breast radiology and cytology are especially susceptible to these issues and continue to experience backlogs, which impact their ability to deliver timely…

News • Research on immune system responses

Allergy or infection? Scientists discover distinguishing features

Scientists discover how the production of antibodies is regulated in allergy and infections. This opens the door to new therapies, without affecting the beneficial response of the immune system.

News • Artificial intelligence application

AI integration into cardiovascular ultrasound to improve diagnoses

Philips announced its latest AI-enabled cardiovascular ultrasound platform to help speed up cardiac ultrasound analysis with AI technology and reduce the burden on echocardiography labs.

World's First Total-Body PET/CT with 194 cm Axial FOV installed in Europe

The IRCCS in Bologna has inaugurated a state-of-the-art integrated PET/CT system. This cutting-edge technology allows for the entire human body to be studied in a single scan, even detecting the smallest tumour cells.

News • Infrared thermography analysis

AI predicts coronary artery disease from facial thermal imaging

A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease (CAD), new research finds.

News • Impact on mammography performance

Breast cancer screening: better detection, fewer false positives with AI

Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.

News • Funding for research group

How can explainable AI in medicine work?

A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.

News • Public health research

Climate change brings new diseases to Europe – using AI to prepare

Due to climate change, diseases such as West Nile fever reach European countries. With the help of AI and math, institutions can prepare for new infections in the changing climate, new research shows.

News • Medical workflow assistance

AI and robotics support for ultrasound imaging

Autonomous robotic ultrasound systems could perform routine examinations and support doctors in the OR. New research shows that these systems can make everyday life easier for medical professionals.

Installation of advanced MRI scanner in Prizren

Through the joint efforts of United Imaging and NeuralMed, Prizren Regional Hospital has become the first facility in Kosovo to benefit from United Imaging's cutting-edge diagnostic technology.

News • A question of liability

Who’s to blame when AI makes a medical error?

Medical AI is advancing gastrointestinal endoscopy – but what happens when it contributes to a medical error? Legal experts are pioneering efforts to develop guidelines on medical AI liability.

State-of-the-art MRI introduced in southern Italy

Medical imaging and radiotherapy equipment company United Imaging are delighted to extend a warm welcome to Cobellis Clinic, the latest treatment centre to join their global family of clients. With an unwavering commitment to providing the highest level of healthcare services, the clinic has made a strategic decision to rely on the manufacturer's state-of-the-art imaging technology.

News • Impact of patient characteristics

Breast cancer AI: unequal performance across ethnicities and age groups

Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.

Article • E-skin patches

How “intelligent” skin could highlight cardiac conditions

Two companies are combining their unique expertise to develop intelligent e-skin patches to “self-sense” cardiac events in patients. The flexible patch platform will deliver a comprehensive understanding of both electrical and mechanical heart activities and has the potential to enable cardiologists to better monitor their patients.

Article • Advancements in endoscopy

Enhancing diagnosis and disease monitoring for ulcerative colitis

Endoscopy is pivotal in diagnosing and managing ulcerative colitis. Recent technology advances allow for early cancer detection, precise disease assessment and targeted biopsies, improving diagnosis and monitoring. The following article takes a look at the latest advancements.

News • 6.5 million European funding

Fighting cancer with artificial cells and tissue

Artificial cells to combat cancer: Research groups are working to create synthetic micro-organisms capable of detecting the presence of the disease and delivering anti-cancer therapies.

News • Cardiovascular disease detection

Routine chest CT with AI to assess CVD risk

AI-enhanced CT scans can accurately evaluate cardiovascular risk without contrast media, a new study shows. The technique uses coronary calcium and heart chamber size as markers for disease detection.

Article • Transformative technology

Generative AI in healthcare: More than a chatbot

‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.

News • Atrial fibrillation early warning

Deep learning predicts heart arrhrythmia 30 minutes in advance

Researchers have developed a deep-learning model that predicts the transition from a normal cardiac rhythm to atrial fibrillation 30 minutes before onset, with an accuracy of around 80%.

Article • "Timely" study

Improved care after heart attack on AI-powered telemedicine platform

Coronary artery disease causes more than 1.8 million heart attacks each year in Europe. In most cases, rehabilitation helps the patients to return to their everyday life. But what happens once the patients have left the rehab clinic?

News • Research on large foundation models

Reducing bias in pathology AI

A study highlights performance differences in computational pathology systems, depending on demographic profiles associated with histology images. The researchers also propose a way to fix this bias.

News • GMAI for cancer treatment

Generalist Medical AI: Experts propose legal guardrails

Generalist Medical Artificial Intelligence (GMAI) models pose a significant challenge to current regulatory frameworks. Experts discuss how regulation of these models could work in the future.

News • Novel probe assesses cell stiffness

A 3D endo-microscope for early cancer diagnosis

Stiffness in tissues can be a valuable indicator of cancer formation. Now, researchers have developed a microscopic probe to perform histology at the single cell level inside the human body.

News • Voice box cancer treatment

Laryngeal cancer: AI software to better predict outcomes

Experts at Newcastle University have discovered artificial intelligence can be used to analyse medical imaging from CT scans, which is aimed at predicting survival in patients with laryngeal cancer.

Article • Lesion detection and mammographic texture analysis

Dual AI model to optimize breast cancer risk assessment

A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.

News • Machine learning assessment

Heart transplantation: AI can provide decision-making support

Matching the right donor heart to the right recipient at the right time is a complex task. Now, experts point out how AI can provide unbiased decision-support for transplantation process.