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.

Classification of biliary strictures using real-time cholangioscopy artificial intelligence: the SMART-AI trial.

Classification of biliary strictures using real-time cholangioscopy artificial intelligence: the SMART-AI trial.

AI surpasses traditional methods in classifying biliary strictures: 87.8% accuracy vs. 67.4%. Significant implications...

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Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring.

Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring.

AI transforms GI health: multimodal imaging, digital biomarkers, and real-time monitoring enhance assessment and...

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Weekly Health & AI Digest – April 13, 2026

Weekly Health & AI Digest – April 13, 2026

Here are the latest breakthroughs in health & AI (April 13, 2026 week) 🔹...

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Why we need to maintain a critical view on big data and artificial intelligence predictions.

Why we need to maintain a critical view on big data and artificial intelligence predictions.

Critical view on AI in rheumatology: small datasets, overfitting, and real-world failures. 📉🤖

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Enhanced Regulatory Collaboration Between UK and US on Medical Technologies

Enhanced Regulatory Collaboration Between UK and US on Medical Technologies

UK and US enhance collaboration on medical technologies, aiming for quicker patient access to...

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Smart hydrogels for overcoming cancer multidrug resistance.

Smart hydrogels for overcoming cancer multidrug resistance.

Smart hydrogels target cancer multidrug resistance by remodeling tumor ecosystems, enhancing drug delivery, and...

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Machine learning-based computational validation of the Addictions Neuroclinical Assessment framework in relation to hazardous drinking.

Machine learning-based computational validation of the Addictions Neuroclinical Assessment framework in relation to hazardous drinking.

Machine learning validates Addictions Neuroclinical Assessment framework for hazardous drinking: key insights on incentive...

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Dementia Trials Accelerator Begins Participant Recruitment

Dementia Trials Accelerator Begins Participant Recruitment

Dementia Trials Accelerator starts recruiting participants for clinical trials, aiming to enhance research efforts....

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The power, potential of real-world data in randomized controlled trials: proceedings from a multistakeholder think tank.

The power, potential of real-world data in randomized controlled trials: proceedings from a multistakeholder think tank.

Exploring real-world data's role in RCTs: enhancing recruitment, safety, and regulatory approval. 🤝📊

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