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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.

Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Exploring hub genes in pulpal inflammation: AI predicts with 76.92% accuracy! 🤖🦷

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AI System Identifies Surgical Site Infections from Patient Photos

AI System Identifies Surgical Site Infections from Patient Photos

AI system detects surgical site infections from patient photos with 94% accuracy. This innovation...

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Assessing ChatGPT’s suitability in responding to the public’s inquires on the effects of smoking on oral health.

Assessing ChatGPT’s suitability in responding to the public’s inquires on the effects of smoking on oral health.

ChatGPT shows promise in answering smoking-related oral health queries, but lacks actionable guidance. 📊🦷

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AI Enhances Cancer Treatment Matching for Pathologists

AI Enhances Cancer Treatment Matching for Pathologists

AI improves cancer treatment matching for pathologists, enhancing tumor sample analysis and potentially reducing...

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Artificial intelligence for healthcare: restrained development despite impressive applications.

Artificial intelligence for healthcare: restrained development despite impressive applications.

AI in healthcare shows promise but faces barriers like complexity and fragmented regulations. Collaboration...

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Winners of the 2025 Digital Health Awards Announced

Winners of the 2025 Digital Health Awards Announced

2025 Digital Health Awards winners announced! 🏆 Recognizing leaders in healthcare innovation and digital...

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Accuracy and Time Efficiency of Artificial Intelligence-Driven Tooth Segmentation on CBCT Images: A Validation Study Using Two Implant Planning Software Programs.

Accuracy and Time Efficiency of Artificial Intelligence-Driven Tooth Segmentation on CBCT Images: A Validation Study Using Two Implant Planning Software Programs.

AI-driven tooth segmentation on CBCT images shows 0.27 mm accuracy, improving efficiency over manual...

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AI System Identifies Early Osteoporosis Indicators from X-Ray Images

AI System Identifies Early Osteoporosis Indicators from X-Ray Images

AI system detects early osteoporosis signs from X-ray images, improving diagnosis and screening efficiency....

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An academic evaluation of ChatGpt’s ability and accuracy in creating patient education resources for rare cardiovascular diseases.

An academic evaluation of ChatGpt’s ability and accuracy in creating patient education resources for rare cardiovascular diseases.

ChatGPT's accuracy in rare cardiovascular disease education is limited; expert review shows redundancy and...

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