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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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Article • Transformative technology

Generative AI in healthcare: More than a chatbot

‘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…

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News • Atrial fibrillation early warning

Deep learning predicts heart arrhrythmia 30 minutes in advance

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%.

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Article • "Timely" study

Improved care after heart attack on AI-powered telemedicine platform

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…

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News • Research on large foundation models

Reducing bias in pathology AI

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.

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News • GMAI for cancer treatment

Generalist Medical AI: Experts propose legal guardrails

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.

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News • Voice box cancer treatment

Laryngeal cancer: AI software to better predict outcomes

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.

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