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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.

From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR-FTIR and Machine Learning.

From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR-FTIR and Machine Learning.

Recent research highlights the potential of using human nails to detect fentanyl. 🧪🔍 Machine...

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Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats.

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats.

Medical history can predict disease onset and aid in responding to health threats like...

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Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery.

Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery.

Exploring LLMs in cancer treatment decisions 🧠💉: A study compares human recommendations with AI...

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Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study.

Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study.

Qwen-2.5 excels in nursing exams! 📚🤖 Study shows it outperforms other models, enhancing medical...

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Insights on Healthcare Trends for 2025

Insights on Healthcare Trends for 2025

Healthcare trends for 2025 include AI, cybersecurity, digital therapeutics, and telehealth advancements. 📈💻🩺

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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables.

Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables.

Machine learning shows promise in predicting urinary tract infections. Key factors include urine and...

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Addressing Physician Burnout Through Comprehensive Strategies

Addressing Physician Burnout Through Comprehensive Strategies

Addressing physician burnout involves technology and practical strategies. Experts emphasize a multifaceted approach for...

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Establishing a Remote Patient Monitoring Infrastructure with Starlink in Indonesia for the Aging Population to Improve Alzheimer’s and Dementia Care.

Establishing a Remote Patient Monitoring Infrastructure with Starlink in Indonesia for the Aging Population to Improve Alzheimer’s and Dementia Care.

Remote patient monitoring in Indonesia enhances Alzheimer’s care through Starlink. 🌐 Improved access for...

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Healthcare Sector Collaborates on AI Model Cards and Innovations

Healthcare Sector Collaborates on AI Model Cards and Innovations

Healthcare sector collaborates on AI model cards for responsible use. 🤝💡 Focus on regulatory...

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