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.

Article • Medical Taiwan 2025

Accelerating the journey of AI into clinical practice

Medical Taiwan has long been a showcase for cutting-edge healthcare solutions, but this year marked a pivotal moment. Visitors of the latest edition of the medical, health and care expo in Taipei…

News • Retrieval-augmented generation in contrast media consultations

Eliminating LLM hallucinations in radiology with RAG

A new study shows that retrieval-augmented generation (RAG) can eliminate hallucinations in clinical large language models (LLMs) while protecting patient privacy during contrast media consultations.

News • Assessment of tumour-infiltrating lymphocytes

Skin cancer: AI assistance helps pathologists identify melanoma

More consistent TIL assessments, more accurate patients' prognoses: New research shows how AI sharpens pathologists' interpretation of tissue samples for malignant melanoma.

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.

News • Deep learning model

AI detects fatty liver disease with chest X-rays

A research group at Osaka Metropolitan University developed an AI model that can detect the presence of hepatic steatosis (fatty liver disease) from chest X-ray images.

News • Diffusion-based generative model

Better MRI scans of beating hearts with AI

An AI-assisted model can take low-quality MRI heart scans and turn them into high quality images, while reducing the time needed to scan the heart by about 90%.

News • Pharmaceutical Automation and Digitalisation Congress

AUTOMA+ 2025: Smart Pharma Vision for Tomorrow

The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 welcomes delegates to be a part of its 5th anniversary in Vösendorf, Austria on 24-25 November. This edition focuses on AI-powered pharma, robotics and smart digital solutions.

News • Integration of digital pathology and AI tools

Digital pathology partnership to streamline workflows and enhance diagnostics

Digital pathology software company Fujifilm Healthcare Europe and Ibex Medical Analytics, specializing in AI-powered cancer diagnostics, announce a formal partnership to support efficient and accurate cancer diagnosis.

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.

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…

News • Responsible deployment of medical AI

Strategies to prevent AI model data shifts in hospitals

If data used to train AI models for medical applications differs from the real-world data, it could lead to patient harm. A new study found proactive strategies to mitigate such data shifts.

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.

United Imaging introduces two groundbreaking CE-marked systems: uMI Panvivo and uMR Ultra

United Imaging, a global leader in cutting-edge diagnostic imaging and radiotherapy solutions, proudly unveils two groundbreaking additions to its portfolio — the uMI Panvivo and the uMR Ultra — both newly CE-marked and set to redefine the standards of precision and performance in medical imaging.

News • Machine learning analysis

Cancer genomics: new ML tool weeds out false positives

A major challenge in cancer genomics is separating meaningful mutations from false positives. A new tool uses machine learning to significantly reduce these errors.

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.

News • Diagnostic assistance

Pancreatic cancer: clinical deployment of AI system for early detection

Survival rates for pancreatic cancer rise drastically the earlier it is detected, but early-stage tumors are notoriously difficult to spot. A new AI-powered diagnostic system is set to improve this.

News • Deep learning-based assessment

AI ‘Sybil’ predicts lung cancer risk from single LDCT scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT (LDCT) scan, according to new research published at the ATS 2025 International Conference.

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 • Future Health Index 2025

‘In medical AI we trust’? Many patients disagree

AI has the power to transform healthcare, but trust gaps among clinicians and patients threaten to slow adoption and impact, the 10th annual Future Health Index (FHI) report reveals.

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 • LLM exaggerations and overgeneralizations

Generative AI routinely blows up science findings

Reading an LLM-generated recap to get the gist of a scientific publication? Not a good idea, a new study finds: Most leading chatbots exaggerate the findings – prompting for more accuracy even makes things worse.

News • LLM-based semiology interpretation

Epilepsy: ChatGPT pinpoints seizure locations in the brain

Researchers evaluated the clinical value of using ChatGPT to interpret seizure semiology in order to predict which brain areas to remove to achieve seizure freedom in epilepsy patients.

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