AI

With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.

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…

Article • The 2025 Kraft Prize for Excellence and Innovation in Community Health

Harnessing AI to serve the medically underserved

The Kraft Center for Community Health has launched a new prize to recognise organisations using technology to transform healthcare access for underserved populations. At the 2025 World Medical…

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.

Accelerating Intelligence in Digital Radiography

In today’s radiology environment, speed alone is not enough. What truly matters is intelligent workflow, diagnostic confidence and consistent performance even under pressure. Samsung’s GC85A…

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 • Critical check for deep learning models

AI labeling in radiology: filling in the missing step

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common AI labeling errors in large collections of radiology images.

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.

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 • Differentiation after radiotherapy

Brain tumour or radiation necrosis? AI can tell them apart

A novel AI-based method can distinguish between progressive brain tumours and radiotherapy-induced necrosis on advanced MRI. This could help clinicians more accurately identify and treat the issues.

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.

News • Virtual companions, real responsibility

AI chatbots for mental health: experts call for clear regulation

Facing a mental health crisis, more and more people turn to chatbots and AI characters. While they offer new possibilities, they also pose great risks, especially for vulnerable users, experts warn.

News • Presented at RNSA 2025

Image guided therapy: 3D navigation with light instead of x-ray

At the RSNA 2025 annual meeting, Royal Philips has announced the expanded commercial availability of their LumiGuide 3D Device Guidance system for light-based navigation.

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 • Classification of morphology

Generative AI to spot blood cell abnormalities missed by doctors

Researchers have created a system that uses generative AI to study the shape and structure of blood cells, and spot unusual or rare cells that may indicate disease such as leukaemia.

News • AI-driven diagnostics

Philips and Cortechs.ai expand neuroimaging partnership

Philips and Cortechs.ai have extended their collaboration to integrate AI-enabled quantitative neuroimaging analytics directly into MR systems. The partnership aims to provide radiologists with automated, objective measurements of brain structures and lesions to support diagnosis and monitoring of neurological conditions.

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…

Overcoming language barriers in healthcare with ease

Today, language barriers in healthcare can be easily overcome – leading to improved patient care. Pocketalk, the global leader in translation hardware, software, and integration, delivers accurate, mobile, and secure translations that exceed industry security standards.

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.

Smart HealthTech Built on Digital Trust

Europe’s healthcare systems face growing pressure: fewer staff, higher infection-control demands, and increased documentation. Estonia is already built for this. With 99% of health data digital, digital trust is built into everyday healthcare – giving Estonian companies a strong foundation for efficient collaboration, fast traceability, and AI-supported operations.

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