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.

Exploring Parental Experiences of Childhood Ear Health Clinics and Their Acceptability of AI-Based Diagnostic Tools: A Qualitative Study.

Exploring Parental Experiences of Childhood Ear Health Clinics and Their Acceptability of AI-Based Diagnostic Tools: A Qualitative Study.

Parental insights on AI in childhood ear health reveal concerns and potential benefits. Key...

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Integrated antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy.

Integrated antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy.

Revolutionary AI model enhances IgG screening for antiviral therapy, targeting SARS-CoV-2 variants with 1300+...

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Performance of Automatic Speech Analysis in Detecting Depression: Systematic Review and Meta-Analysis.

Performance of Automatic Speech Analysis in Detecting Depression: Systematic Review and Meta-Analysis.

Automatic Speech Analysis shows 81% accuracy in detecting depression, highlighting its potential as a...

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Management of patients with comorbid asthma and obesity: A large language model evaluation of clinical documentation.

Management of patients with comorbid asthma and obesity: A large language model evaluation of clinical documentation.

"Only 12.6% of asthma patients with obesity receive weight management in care. 📉🚑"

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Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.

Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.

AI in stroke care: Smart tech enhances prevention, detection, and recovery. Key findings from...

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Deep Learning for Drug-Target Interaction Prediction: A Comprehensive Review.

Deep Learning for Drug-Target Interaction Prediction: A Comprehensive Review.

Deep learning revolutionizes drug-target interaction prediction, enhancing efficiency in drug discovery. Key metrics and...

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Use of a Generative Pretrained Transformer to Answer Questions and Facilitate a Large Randomized Controlled Trial.

Use of a Generative Pretrained Transformer to Answer Questions and Facilitate a Large Randomized Controlled Trial.

AI in Clinical Trials: 75% Question Response Rate! 🤖📊 89% Satisfaction Among Coordinators! Insights...

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Collaborative penetration testing suite for emerging generative AI algorithms.

Collaborative penetration testing suite for emerging generative AI algorithms.

New AI security suite tackles quantum threats! 🛡️ Over 300 vulnerabilities fixed, 70% high-severity...

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AI Analysis of Body Composition Predicts Cardiometabolic Risks

AI Analysis of Body Composition Predicts Cardiometabolic Risks

AI tools can now assess body composition in minutes, predicting cardiometabolic risks more accurately...

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