AIHealth Hub
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Signals shaping
health AI.

A focused stream of research, industry developments and ideas selected for people building the future of health.

Yusuf Yeşil, MD, MIS
Curated by Yusuf Yeşil, MD, MIS Clinical Biochemist & Health AI
Clinical AI Large Language Models Digital Health Computer Vision Health Economics AI Ethics
LATEST SIGNALS

Research and developments, with a clear point of view.

Weekly Health & AI Digest – March 30, 2026

Weekly Health & AI Digest – March 30, 2026

Here are the latest breakthroughs in health & AI (March 30, 2026 week) 🔹...

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NHS Needs a New Care Model to Address Future Demands

NHS Needs a New Care Model to Address Future Demands

NHS requires a new care model to effectively manage future healthcare demands, emphasizes Markus...

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A Narrative Review of Digital Addiction and Health: A New Challenge for Modern Medicine.

A Narrative Review of Digital Addiction and Health: A New Challenge for Modern Medicine.

Digital addiction impacts health significantly, with prevalence highest in adolescents. Neurobiological changes mirror substance...

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NHS Urged to Scale Proven Innovations to Meet Demand

NHS Urged to Scale Proven Innovations to Meet Demand

NHS urged to expand successful innovations to address increasing healthcare demand, says Helen Balsdon....

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AI-Driven Design of Miniproteins as Potential Allosteric Modulators.

AI-Driven Design of Miniproteins as Potential Allosteric Modulators.

AI-Driven Miniproteins: Revolutionizing Allosteric Modulation in Drug Discovery 🧬💊

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Limited Integration of Data Flows in NHS Electronic Patient Records

Limited Integration of Data Flows in NHS Electronic Patient Records

Limited integration in NHS Electronic Patient Records affects data sharing. Only 30% have bi-directional...

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Hospital Phone Encounters as Upstream Evidence for AI Scribe Evaluation.

Hospital Phone Encounters as Upstream Evidence for AI Scribe Evaluation.

Exploring AI Scribe Evaluation through Hospital Phone Encounters 📞🤖: Insights from Sezgin E's 2026...

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Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging.

Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging.

Class imbalance in multi-sensor medical imaging can improve minority class recall by 12-35% through...

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On the relationships between apathy, depression and anhedonia.

On the relationships between apathy, depression and anhedonia.

Exploring Apathy, Depression, and Anhedonia: Key Findings from a Comprehensive Study 🧠📊

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