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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 – December 08, 2025

Weekly Health & AI Digest – December 08, 2025

Here are the latest breakthroughs in health & AI (December 08, 2025 week) 🔹...

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AI-Driven Structural Elucidation of the Bacteriophage KP32: Decoding Its Molecular Arsenal Against Klebsiella Pneumoniae.

AI-Driven Structural Elucidation of the Bacteriophage KP32: Decoding Its Molecular Arsenal Against Klebsiella Pneumoniae.

AI Reveals KP32 Phage Structure: 500+ Proteins Targeting Klebsiella Pneumoniae! 🦠🔬

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Non-small cell lung cancer subtype classification based on cross-scale multi-instance learning.

Non-small cell lung cancer subtype classification based on cross-scale multi-instance learning.

Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! 📊🔬 Robust across diverse...

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A Laboratory-Based Federated Learning Deployment on Real Devices for ECG-Based Clinical Decision Support Systems.

A Laboratory-Based Federated Learning Deployment on Real Devices for ECG-Based Clinical Decision Support Systems.

Federated Learning enhances ECG data privacy in clinical decision support, achieving 93% F1 score...

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The cost of explainability in artificial intelligence-enhanced electrocardiogram models.

The cost of explainability in artificial intelligence-enhanced electrocardiogram models.

AI-ECG models: Balancing performance and explainability. 📊🔍 Study reveals trade-offs in interpretability and diagnostic...

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The global epidemiology of acute kidney injury: challenges and opportunities.

The global epidemiology of acute kidney injury: challenges and opportunities.

Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need...

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A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction.

A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction.

Innovative tool enhances craniosynostosis surgery planning with 0.95 accuracy! 🤖🧠 Reduces radiation exposure, improves...

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Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Expert consensus on apical mucosal preservation in HoLEP shows 85% agreement, crucial for AI...

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Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

AI-driven virtual physiotherapy assistants enhance home rehabilitation, improving adherence and outcomes. Key challenges include...

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