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.
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.
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.
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.
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.
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…
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 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.
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.
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.
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…
A multicenter study involving leading hospitals across Spain, has confirmed that people with COPD show altered levels of specific metabolites in their blood.
New research finds that neurosurgery students receiving AI-augmented, personalized feedback from a human instructor have better surgical performance, risk management and skill transfer.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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…
Ground-breaking innovation for endovascular surgery: The new software package Endovascular Navigation supports physicians in their interventions with planning, navigation and fusion imaging.
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…
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.
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.
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.
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.
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).
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.
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.
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.
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.
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…
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.
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 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.
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…
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.
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.
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.
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.
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…
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.
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.
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.
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…
A rigorous review of evidence showed that AI-assisted technology helps identify colorectal polyps. However, its impact on preventing colon cancer remains unclear.
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.
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.
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.
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.
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.
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.
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.
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%.
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.
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.
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.
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.
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.
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…
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.
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…
HighlightsExceptional performance for high speed tomo reading with up to 75%¹ faster image loadingNext-gen AI-powered tools enable workload reduction up to 63%² and up to 10%³ increased accuracy in diagnosisFull spectrum multimodal reading with motion corrected MRI data, subtraction calculation and advanced analytical toolsComprehensive double-blind reading management with…
HighlightsIntelligent NR is Canon's AI image processing option, developed using machine learning and an existing clinical image database to create a neural network for deep-learning. By identifying the characteristics of noise and applying the pre-learned neural network, a noise-reduced image is created. Key Features: High quality diagnostic images with reduced noiseNo noticeable loss of…
HighlightsUnique BioMatrix TechnologyBoost productivity with Turbo Suite, Simultaneous Multi-Slice, and Deep ResolveAdvanced free-breathing MRI examsGO technologies powered by artificial intelligence boost patient throughputSave energy consumption with Eco-PowerIncreased consistency and workflow acceleration with myExam CompanionAvailable with syngo MR XA50M software¹ Maximum gradient…
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.
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.
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.
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.
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.
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.
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.
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.
"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.
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.
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.
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.
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.
HighlightsThe AI-Rad Companion, is a family of AI-powered workflow solutions, available as cloud or hybrid deployments. It supports you in your diagnostic tasks and may increase your diagnostic precision when interpreting medical images.Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms. The automation of routine workflows with repetitive tasks…
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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, 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.
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.
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.
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.
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.
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.
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.
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.
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…
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…
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.
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…
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.
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.
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.
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.
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…
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.
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.
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.
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.
“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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
As the adoption of AI into healthcare continues, concerns about the environmental impact of increasingly complex AI models grow. Therefore, researchers are looking for more sustainable AI solutions.
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.
To address the increasing stress and burnout rates among healthcare professionals, Amsterdam UMC will lead a European consortium in search of the best solutions.
AI models perform increasingly well in answering medical questions. However, when it comes to explaining these answers, shortcomings become apparent, a new study shows.
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.
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.
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,…
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.
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…
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.
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.
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.
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).
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.
A novel blood test shows promise to predict Parkinson's disease in risk patients up to seven years before the typical motor symptoms appear.
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.
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…
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.
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.
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.
A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease (CAD), new research finds.
Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.
A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
‘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.
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%.
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?
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.
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.
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.
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.
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.
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.
Large language models like ChatGPT have become a go-to point for health information. However, a new study uncovers a vital weakness: The AI gets confused when faced with actual scientific evidence.
Osteosarcoma is the most prevalent malignant bone tumor. Now, researchers have developed a machine-learning model to predict the density of viable tumor cells after surgery and chemotherapy treatment.
Could a chatbot-like AI tool locate brain damage after a stroke? In a new study, large language model GPT-4 processed text from health histories and neurologic examinations to locate brain lesions.
Using ultrasound imaging to detect Covid-19 infections, a new automated detection tool could help doctors in the emergency room diagnose patients quickly and accurately.
In diagnostics, there used to be a hard divide between radiology and pathology, where methods were largely considered incompatible with one another. However, to pave the way for next-generation diagnosis, Professor Regina Beets-Tan urged both sides to come out from their trenches and appreciate the synergies the fields have to offer. In her presentation at the European Congress of Radiology (ECR)…
Radiologists and AI don’t always work well together: New research finds that the benefits of using AI tools appear to vary, boosting performance of some clinicians, but hurting others'.
Researchers have developed the 'iKnife', a smart scalpel that is able to recognise healthy tissue from brain tumour in seconds as it cuts, with more than 98% accuracy.
Some year in this decade, AI tools will become ubiquitous within clinical laboratories. AI has the potential to increase the accuracy of laboratory testing and improve the quality and efficiency of operations and service of testing labs.
Warfarin is sometimes prescribed after heart surgery, but getting the dose right requires a personalised approach for each patient. A new AI tool is designed to help with this complex task.
Awareness of the importance of women’s health is on the rise, but many challenges remain: At ECR 2024 in Vienna, we spoke with Hologic about their continued evaluation of healthcare efforts for women. At the congress, the company also shared how AI could be used to mitigate the effects of medical staff shortage.
A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.
Pulse oximeters delivering poorer results in people with darker skin tones, underdiagnosis of cardiac conditions in women: some medical devices are not as fair as the ought to be, a new review finds.
Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.
Striking the balance between diagnostic efficacy and patient safety remains critical when utilising iodinated contrast media to deliver the best imaging outcomes. While playing a crucial role in diagnosis and treatment of disease, CT expert Efthimios Agadakos believes the medical profession has a duty to do its utmost to minimize patient risk from contrast media.
This February, the Norwegian Institute of Public Health officially launched the ‘Joint Action on cancer and other non-communicable disease prevention project‘ (JA PreventNCD). In the four-year-initiative, 22 EU member states plus Iceland, Norway and Ukraine have joined forces to combat the increasing burden of non-communicable diseases (NCDs) across national borders.
Artificial Intelligence has helped scientists reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated in the future.
As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it’s essential to consider the environmental impact of AI tools.
Hologic, Inc. unveils new research in artificial intelligence (AI) and offering innovative educational opportunities at the annual European Congress of Radiology (ECR) in Vienna, Austria.
PPE compliance, air and environment monitoring, antibiotic treatment decision support: AI has great potential to help prevent infectious disease outbreaks, a review at the upcoming ECCMID points out.
Cancer patients receiving radiotherapy run the risk of injuring their lungs. This can lead to conditions like pneumonitis and fibrosis. A new cell-by-cell model can help make treatments safer.
Highlights Fujifilm expands AI CAD software integration across its portfolio1An integrated operating environment to install AI-CAD software with Fujifilm modalitiesProvides access to the latest Artificial Intelligence-Computed Aided Diagnosis (AI-CAD) technologies that support diagnostic imaging with deep learning at point of image acquisitionAI-CAD solutions supported include Lunit Insight…
Breast MRI is increasingly being used as a primary breast cancer screening exam for young women. It brings benefits in women with dense breasts, who are at an elevated risk of developing breast cancer. The technique is also being ordered as a supplemental screening exam following mammography or breast ultrasound for women of all ages at high risk. But use of breast MRI as a screening tool is…
In a new article, digital health experts discuss how medical data from citizens could be used for research in the future while respecting personal rights.
Researchers in Singapore have developed an AI-based software to assist in the early detection of breast cancer. Using thermal imaging, the program assesses the malignancy of a tumour.
Ahead of World Cancer Day on 4 February, scientists are revealing a cutting-edge artificial intelligence (AI) tool designed to help grade cancer, by analysing cell division.
AI technology holds promise for personalised cancer therapies. However, rigid and slow approval requirements impede its introduction, say experts – and point out how this might be changed.
United Imaging Healthcare Europe, a leading company in advanced medical imaging and radiotherapy equipment, proudly announces the introduction of its first Mobile Digital PET/CT solution in Italy, now fully operational in the Piacenza province under the auspices of the Azienda Unità Sanitaria Locale Piacenza (AUSLP) hospital.
Digital pathology brings benefits for sample management and optimisation, lets pathologists work on samples remotely: The UK Government has now approved the use of the technique for cancer samples.
Academic labs and biotech firms pioneer multi-cancer early detection with emerging technologies. Screening for multiple cancers with a simple blood or urinary draw could be a game-changer. Two research teams in particular have advanced the field.
As a result from better living standards and medical advances, population longevity increases – a development which, paradoxically, current healthcare systems are ill-prepared for, Sir John Bell points out. The UK’s Our Future Health programme, which he chairs, exemplifies the paradigm shift to a prevention-centered healthcare approach.
AI models are highly capable in analysing tissue samples – as long as conditions are lab-perfect. Add a little contamination, however, and diagnostic accuracy goes out the window, a new study shows.
HighlightsThe AI Orchestrator uses open APIs to support extensive Fujifilm and third-party algorithms, along with an advanced rules engine to bring your preferred algorithms directly within the SYNAPSE PACS workflow. The platform can also manage multiple algorithms for a single procedure, prioritise and flag results within the SYNAPSE PACS worklist, and store radiologist feedback on the AI…
Radiology is inextricably linked with AI – but what should the future of the technology be for medical imaging? Five leading societies have published a joint paper addressing the challenges.
With a combination of radiomics and deep learning, researchers aim to noninvasively determine lymph node metastasis before surgery. This could lead to more accurate diagnosis and treatment strategies.
An interplanetary title for a quite down-to-earth topic: The symposium "Men are from Mars, women are from Venus" at the EACVI congress (European Association of Cardiovascular imaging) launched into the differences between the hearts of men and women. While the speakers could firmly establish that both sexes share the same home world, variations in their cardiac anatomy warrant a more…
HighlightsLightweight, compact chassis ensures superb manoeuvrability even in the tightest of spacesCollapsible column for a clear view aheadQuiet power assist drive delivers less disruption in the quietest environmentsMultiple tube/collimator controls for fast, easy operationLarge 19” touchscreen monitor with friendly icons for enhanced post processingUp to four hours use on a single…
HighlightsCompact AI-powered diagnostic platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesUseful tools to help diagnose breast cancerSeamless workflow: Protocol assistant, Auto Measurements
HighlightsMulti-disciplinary Premium platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesAdvanced application with fusion imaging to support procedure guidance and treatment evaluationUseful tools to help diagnose breast cancerSeamless workflow: Protocol…
HighlightsNew AI-powered diagnostic multi-disciplinary platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesAdvanced application with fusion imaging to support procedure guidance and treatment evaluationUseful tools to help diagnose breast cancerSeamless…
The climate crisis and AI – arguably two of the most hotly-debated and relevant topics of our time – share an intricate relationship: While computation of complex AI routines commands an immense carbon footprint, it is these algorithms that might be the very key to mitigate the effects of global warming. In a dedicated session at ECR 2023, radiologists explored the societal and environmental…
Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.
With the help of AI, a team at Caltech has designed a new type of catheter tube that impedes the upstream mobility of bacteria, without the need for antibiotics or chemical antimicrobial methods.
A feasibility study by Swiss researchers shows that AI systems are able to reliably predict therapeutic success in patients with borderline personality pathology by detecting emotions on their face.
Can AI help better evaluate images of brain tumours? A publication from German researchers on this topic presented at this years' ICIS conference won the Best Paper Award.
HighlightsiQ-VIEW is the vendor neutral easy-to-use multimodality reading station that has been designed by radiologists for imaging specialists. A unique previous study management using artificial intelligence accelerates the diagnostic process by automatically presenting relevant previous studies of any modalities. iQ-VIEW PRO automatically merges different patient identities from any PACS.
A powerful tool, but the need for human judgment remains: In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of AI and machine learning to study and improve health.
Using AI and optoacoustic imaging, researchers have developed a new method to assess microvascular changes in the skin – and thus the severity of diabetes in the patient.
At the beginning of 2022, the Vienna General Hospital introduced DeepUnity, the next generation of PACS, which is used in clinics around the world today, taking the next step in image data management.
AI plays an increasingly important role in medicine – and this should also be reflected in medical curricula. New work from an international team suggests how this could be done.
US researchers discuss three blood-based liquid biopsies, namely circulating tumor cells, circulating tumor DNA and tumor-derived exosomes, as they relate to prostate cancer management.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.
Incidence of lung cancer among people who never smoked is rising. A new AI tool opens the door for opportunistic screening for this group, using existing chest X-rays in the electronic medical record.
AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…
Faster, more accurate and cost-effective testing: Experts outline the beginnings and evolution of “lab-on-a-chip” technology, and its benefits for advanced and next-gen operational platforms.
The world's leading medical trade fair MEDICA 2023 starts on Monday in Düsseldorf with more than 5,300 exhibiting companies from almost 70 nations and the kick-off event for the accompanying 46th German Hospital Day, which will be attended by Federal Health Minister Karl Lauterbach (via video link) and NRW Health Minister Karl-Josef Laumann. COMPAMED 2023 will take place parallel to MEDICA. As…
Ultrasound technology now plays a vital role in clinical diagnosis and management. Significant advances in point-of-care ultrasound (POCUS) have made it a versatile tool for assessment, diagnosis, and follow-up across various fields. New developments continue to expand its applications, improving patient care and outcomes.
Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.
Bioethics researchers call on medical societies, government leaders, clinicians, and researchers to work together to ensure AI-driven healthcare preserves patient autonomy and respects human dignity.
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
MEDICA trade fair (Nov 13-16, Düsseldorf) is a major event for start-ups entering the health sector. Hundreds of young developers seek business contacts for cooperation concerning funding, production, approval, marketing or sales of their products.
Researchers from Osaka University present a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva.
Philips and Quibim have signed a multi-year agreement to work on an integrated solution including an AI-based software to automate real-time prostate gland segmentation in MR images.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
A new research collaboration aims to develop a forward-looking AI application to detect gender-specific symptoms earlier and further reduce mortality from heart disease, especially among women.
Voice pathology detection (VPD) can detect abnormal vibrations in the vocal cords caused by conditions like cancer and cysts. Now, researchers have found a way to make the method more reliable.
Hardly a day passes without new headlines about ChatGPT, the AI-powered large language model, and its potential applications in healthcare. First results have been somewhat sobering after the initial hype, with the AI’s “hallucinations” often replacing scientific truth. Still, Professor Philip Moons is convinced that the chatbot might bring actual benefits to nursing and health science…
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery.
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
New research from Deusto University in Bilbao, Spain, provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
Today, on September 30th, the Human Brain Project (HBP) formally completes its 10-year runtime as an EU-funded FET Flagship. Three HPB lead figures recount what has been achieved.
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
A team from UNC has developed a steerable lung robot that can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.
Modern cancer therapies are tough on the tumours, but often, also on the heart of the patients. The “CARDIOCARE” project aims to reduce the cardiac burden of anti-cancer therapies through more patient-tailored treatment approaches. At the ESC cardiology congress, Professor Katerina Naka from the project’s consortium explained why older patients are at the highest risk of cardiotoxic…
From cancer to AI, from management to new medication: this year's Labmed Forum at MEDICA 2023 in Düsseldorf (November 13-16) once again features an exciting scientific programme.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
Experts from Brigham and Women’s Hospital have tasked ChatGPT to generate recommendations for cancer treatment – with some promise, but ultimately inadequate results.
When faced with an unfamiliar task, many people rely on the voice assistants in their smartphone to help them out. However, when it comes to CPR, these AI companions cannot always be counted on.
