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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.

High-Precision Contactless Stereo Acoustic Monitoring in Polysomnographic Studies of Children.

High-Precision Contactless Stereo Acoustic Monitoring in Polysomnographic Studies of Children.

High-Precision Acoustic Monitoring in Pediatric Sleep Studies: 91.16% Accuracy with Deep Learning 🎧📊

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A cross-language analysis of urolithiasis patient online materials: Assessment across 24 European languages.

A cross-language analysis of urolithiasis patient online materials: Assessment across 24 European languages.

Urolithiasis online materials are complex; 20% of patients struggle with comprehension. Simplification is crucial...

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Artificial intelligence in pediatric healthcare: bridging potential, clinical practice, and ethical considerations.

Artificial intelligence in pediatric healthcare: bridging potential, clinical practice, and ethical considerations.

Exploring AI's role in pediatric healthcare: potential benefits, clinical applications, and ethical challenges. 🤖👶📊

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The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.

The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.

Exploring biomarkers in high-risk prostate cancer: 50-75% relapse rate post-treatment. Genomic profiling enhances precision...

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Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

AI model predicts allo-HSCT survival with 93.26% accuracy using 7 key factors. Study includes...

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ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

AI surpasses urologists in prostate cancer detection on micro-ultrasonography: 73% vs 58% sensitivity. 📊🤖

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AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks....

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Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. 📊💔

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Early embryo development: the current perspective in molecular evaluation and clinical status.

Early embryo development: the current perspective in molecular evaluation and clinical status.

Exploring embryo development: molecular insights, AI advancements, and clinical challenges in ART. 🧬🤖

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