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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.

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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.

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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.

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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.

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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,…

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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.

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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…

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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…

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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.

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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.

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