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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.

The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.

The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.

AI in ICUs: Regulatory complexity rises with functionality. A five-paradigm framework proposed for effective...

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Comment on “Measuring diet intake in adolescents: Relative validation of an artificial intelligence enhanced, image assisted mobile application”.

Comment on “Measuring diet intake in adolescents: Relative validation of an artificial intelligence enhanced, image assisted mobile application”.

AI in adolescent diet tracking: Promising validation metrics from a mobile app study. 📱🍏

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Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.

Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.

Revolutionary vibration sensors using MoS₂ achieve gauge factors of 5300, enhancing health monitoring and...

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Unified Dental Electronic Referral Service to Launch in South West England

Unified Dental Electronic Referral Service to Launch in South West England

Unified dental electronic referral service launching in South West England. 🦷 Improved patient care...

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A disease-agnostic approach to ensemble learning for infectious disease forecasting.

A disease-agnostic approach to ensemble learning for infectious disease forecasting.

Innovative disease-agnostic ensemble model, epiFFORMA, enhances infectious disease forecasting accuracy without historical data. 📊🔍

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Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.

Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.

AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for...

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Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

AI Enhances Spine Alignment Assessment: 90.18% Sensitivity Achieved! 📊🩻

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Improving consciousness assessment through neuroadaptive artificial intelligence and quantum-enhanced brain-computer interfaces.

Improving consciousness assessment through neuroadaptive artificial intelligence and quantum-enhanced brain-computer interfaces.

Revolutionizing consciousness assessment: Neuroadaptive AI & quantum BCIs show promise for improved patient outcomes....

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Creativity as a core competency in medical education: the art of medicine.

Creativity as a core competency in medical education: the art of medicine.

Creativity is essential in medical education, enhancing clinical reasoning and empathy. Explore its impact...

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