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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.

Second harmonic generation for brain imaging: pathology-related studies.

Second harmonic generation for brain imaging: pathology-related studies.

Second harmonic generation (SHG) microscopy enhances brain imaging, revealing critical insights into trauma, tumors,...

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Interrupted Time Series Analysis in Environmental Epidemiology: A Review of Traditional and Novel Modeling Approaches.

Interrupted Time Series Analysis in Environmental Epidemiology: A Review of Traditional and Novel Modeling Approaches.

Exploring Interrupted Time Series Analysis in Environmental Epidemiology: Key Insights from Recent Research 📊🌍

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Content validity of AI-generated stuttering assessment and intervention programs based on expert review: A comparative analysis across age groups and language versions.

Content validity of AI-generated stuttering assessment and intervention programs based on expert review: A comparative analysis across age groups and language versions.

AI-generated stuttering programs show high content validity (M = 4.6-4.9) but require human validation...

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Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician’s Guide to the Evolving Landscape.

Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician’s Guide to the Evolving Landscape.

AI revolutionizes gynecologic cancer care, enhancing accuracy and speed in diagnosis and treatment. Key...

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The Landscape of Medical Education Internationalization in Iran Through a Scientometrics Lens.

The Landscape of Medical Education Internationalization in Iran Through a Scientometrics Lens.

Exploring Iran's Medical Education Internationalization: 94 studies, 2.32 citations/publication, key themes include AI &...

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Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning Approach.

Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning Approach.

Causal ML identifies patients with sepsis and AKI who benefit from restrictive fluid therapy....

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In-silico epitope-based vaccines design: progress, challenges and the road ahead.

In-silico epitope-based vaccines design: progress, challenges and the road ahead.

In-silico vaccine design: 90% faster antigen screening, 80% precision in epitope prediction. Key for...

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Transbronchial cryobiopsy in the era of precision thoracic diagnostics: Histopathology, omics, radiomics, and AI converge.

Transbronchial cryobiopsy in the era of precision thoracic diagnostics: Histopathology, omics, radiomics, and AI converge.

Transbronchial cryobiopsy enhances lung disease diagnosis with minimal invasiveness, improving sample quality and reducing...

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Acceptability, deviation, and efficiency of 2 fully automated CAD software programs in designing 3-unit fixed dental prostheses: A comparative study.

Acceptability, deviation, and efficiency of 2 fully automated CAD software programs in designing 3-unit fixed dental prostheses: A comparative study.

AI CAD software shows 100% design success for 3-unit FDPs, but human oversight crucial...

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