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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.

Enhancing Healthcare Systems with Data and AI

Enhancing Healthcare Systems with Data and AI

Data and AI can improve healthcare systems by analyzing real-time information for better patient...

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Exploring Cortical Responses to Blood Flow Restriction through Deep Learning.

Exploring Cortical Responses to Blood Flow Restriction through Deep Learning.

Cortical responses to blood flow restriction training show over 90% accuracy in individual analysis!...

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NHS South East London Plans Women’s and Girls’ Health Hubs Using Data Analysis

NHS South East London Plans Women’s and Girls’ Health Hubs Using Data Analysis

NHS South East London is establishing women's and girls' health hubs in Lambeth and...

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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology.

Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology.

AI in Fitness: Enhancing Stress Measurement for Athletes 🏀🤖

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Smart Technology Enhances Retirement Living in South Lanarkshire

Smart Technology Enhances Retirement Living in South Lanarkshire

Smart technology in South Lanarkshire retirement housing improves safety and reduces costs. Sensors monitor...

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Dental age estimation by comparing Demirjian’s method and machine learning in Southeast Brazilian youth.

Dental age estimation by comparing Demirjian’s method and machine learning in Southeast Brazilian youth.

Machine learning enhances dental age estimation accuracy, reducing errors by 44% compared to traditional...

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United Lincolnshire Teaching Hospitals Partners with Nervecentre for Electronic Patient Records

United Lincolnshire Teaching Hospitals Partners with Nervecentre for Electronic Patient Records

United Lincolnshire Teaching Hospitals partners with Nervecentre for a new Electronic Patient Record system....

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Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

NLP boosts cardiology report analysis! 🤖 Achieved 96.13% accuracy in entity recognition for efficient...

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Advancing BCI with a transformer-based model for motor imagery classification.

Advancing BCI with a transformer-based model for motor imagery classification.

Transformers enhance BCI accuracy: 86.46% for subject-dependent, 74.48% for independent. Explore EEGEncoder's innovative architecture!...

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