News • Digital health
DeepHealth completes iCAD acquisition for breast cancer AI tools
RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.
AI
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 • 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 witnessed a particularly noticeable step forward: the definitive transition of medical AI from promising research to actual clinical practice. Organized by the Taiwan External Trade Development Council…
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.
Sponsored • New solution for intraoperative endovascular procedures
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.
Sponsored • Precision and performance in medical 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.
