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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.

Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.

Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.

LLM-assisted ABG interpretation shows strong concordance with expert evaluations, enhancing medical education and reducing...

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A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning.

A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning.

Exploring a Trust-Aware Architecture for Personalized Digital Health: Key Insights from Recent Research 🏥📊

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How can artificial intelligence transform the training of medical students and physicians?

How can artificial intelligence transform the training of medical students and physicians?

AI in medical training: 2025 insights reveal potential, challenges, and ethical concerns. 🤖📚

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Weekly Health & AI Digest – October 06, 2025

Weekly Health & AI Digest – October 06, 2025

Here are the latest breakthroughs in health & AI (October 06, 2025 week) 🔹...

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Application of DeepSeek-assisted problem-based learning in hematology residency training.

Application of DeepSeek-assisted problem-based learning in hematology residency training.

DeepSeek enhances hematology residency training, improving clinical competence and diagnostic reasoning. 📈🩸 Significant exam...

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A Scalable Multi-Layer AI Adoption Model to Support the Comprehensive Goals of 6P Medicine.

A Scalable Multi-Layer AI Adoption Model to Support the Comprehensive Goals of 6P Medicine.

Exploring a scalable AI model for 6P medicine: enhancing predictive, preventive, and personalized healthcare....

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Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.

Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.

Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. 📊⚕️

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Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.

Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.

Automated detection of third molar and nerve relations shows 97% accuracy using UNet. DenseNet121...

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TOPSIS driven complex picture fuzzy approach for speech matching and sports training feature recognition.

TOPSIS driven complex picture fuzzy approach for speech matching and sports training feature recognition.

Innovative CPF-TOPSIS model enhances decision-making in speech and sports training, improving accuracy by addressing...

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