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.

Digital Solutions Essential for Enhancing Patient Flow in the NHS

Digital Solutions Essential for Enhancing Patient Flow in the NHS

Digital solutions are vital for improving patient flow in the NHS. Effective governance and...

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Design and in silico evaluation of an mRNA vaccine against HTLV-1 using AI-driven reverse vaccinology approaches.

Design and in silico evaluation of an mRNA vaccine against HTLV-1 using AI-driven reverse vaccinology approaches.

AI-driven mRNA vaccine design against HTLV-1 shows promising immunogenic properties. Further experimental validation needed....

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Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.

Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.

Evaluating AI in oral cancer communication: Gemini and Grok show 90%+ referral safety but...

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Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.

Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.

Global sentiment on health AI shows 65.26% positivity, with privacy concerns at 33.31%. 🌍🤖📊

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Advanced enrichment and detection technologies for illicit additives in weight-loss dietary supplements.

Advanced enrichment and detection technologies for illicit additives in weight-loss dietary supplements.

Advanced detection methods for illegal additives in weight-loss supplements are crucial for public health....

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#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets.

#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets.

AI analyzes 1,168 tweets on Multiple Sclerosis: 44% positive, 22.3% negative. Key themes: announcements,...

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AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.

AI in Clinical Decision Support: Enhancing Outcomes, Addressing Data Challenges 📊🤖

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Transformer-Based Context-Informed Incremental Learning With sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric Control.

Transformer-Based Context-Informed Incremental Learning With sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric Control.

Revolutionary myoelectric control: T-sDTW-CIIL boosts success rates to 98.4% and increases throughput by up...

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Weekly Health & AI Digest – May 04, 2026

Weekly Health & AI Digest – May 04, 2026

Here are the latest breakthroughs in health & AI (May 04, 2026 week) 🔹...

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