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.

Recent updates in treating carbapenem-resistant infections in patients with hematological malignancies.

Recent updates in treating carbapenem-resistant infections in patients with hematological malignancies.

Recent updates on treating carbapenem-resistant infections in hematological malignancies highlight critical options and emerging...

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Artificial Intelligence-Supported Development of Health Guideline Questions.

Artificial Intelligence-Supported Development of Health Guideline Questions.

AI enhances health guideline question development, revealing new insights for allergic rhinitis. 🤖📋 Read...

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Emergency Medical Access Control System Based on Public Blockchain.

Emergency Medical Access Control System Based on Public Blockchain.

We reviewed a study on a public blockchain system for emergency medical access. It...

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The Feasibility of AgileNudge+ Software to Facilitate Positive Behavioral Change: A Mixed Methods Design.

The Feasibility of AgileNudge+ Software to Facilitate Positive Behavioral Change: A Mixed Methods Design.

AgileNudge+ software aids positive behavior change through user-friendly nudging. 🖥️💡 It simplifies interventions for...

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PharmaBench: Enhancing ADMET benchmarks with large language models.

PharmaBench: Enhancing ADMET benchmarks with large language models.

PharmaBench improves ADMET benchmarks using large language models, enhancing drug development accuracy. 🧬📊 Comprehensive...

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Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.

Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.

Recent research highlights AI's role in quantifying eosinophils in nasal polyps. Eosinophilia's significance is...

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A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study.

A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study.

A recent study explores machine learning for predicting outcomes in recurrent prostate cancer after...

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Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.

Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.

New research highlights the role of optical coherence tomography in predicting oral cancer prognosis...

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Investigating Older Adults’ Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study.

Investigating Older Adults’ Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study.

Socially assistive robots can enhance care for older adults. 🤖 This study analyzes user...

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