AIHealth Hub
UPDATED DAILY

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.

Systems biology in the era of AI: “winter” or “evolution”?

Systems biology in the era of AI: “winter” or “evolution”?

Exploring AI's impact on systems biology: a pivotal shift or mere stagnation? 🤖🔬 Insights...

Read article
Need for International Standards in AI Testing for Healthcare

Need for International Standards in AI Testing for Healthcare

Adelaide University researchers highlight the need for international standards in AI testing for healthcare....

Read article
Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.

Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.

Telehealth & AI in military healthcare: Enhancing access, efficiency, and patient monitoring in high-risk...

Read article
EcoRxAgent: an AI agent for generating economically substitutable prescriptions.

EcoRxAgent: an AI agent for generating economically substitutable prescriptions.

AI-driven EcoRxAgent reduces prescription costs by 14.40% to 40.14% while ensuring therapeutic efficacy. 💊🤖

Read article
MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.

MaxGRNet: Eye disease classification achieves 96.75% accuracy using multi-axis vision transformers and explainable AI....

Read article
Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.

Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.

Revolutionary AI framework boosts biomedical data analysis success to 77%! 🤖📊 Explore BioMedAgent's capabilities!

Read article
AI Scribing Technology to Be Implemented Across 20,000 NHS Clinicians in London

AI Scribing Technology to Be Implemented Across 20,000 NHS Clinicians in London

AI scribing technology will assist 20,000 NHS clinicians in London, enhancing efficiency in patient...

Read article
Humber Trust Secures Funding for NHS App Enhancements

Humber Trust Secures Funding for NHS App Enhancements

Humber Trust receives funding for NHS app improvements, benefiting 11 other trusts using SystmOne....

Read article
Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

Hybrid deep learning enhances autism detection accuracy to 73% using rs-fMRI data. Significant implications...

Read article
Browse all Yesil Science articles