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.

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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Technology-Enhanced Exercise Training for Cardiometabolic Syndrome: A Scoping Review.

Technology-Enhanced Exercise Training for Cardiometabolic Syndrome: A Scoping Review.

Exploring technology's role in managing cardiometabolic syndrome: 19 studies reveal promising adherence and personalization...

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