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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.

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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Barts Health NHS Trust Partners with Cancer Support UK for Workplace Cancer Training

Barts Health NHS Trust Partners with Cancer Support UK for Workplace Cancer Training

Barts Health NHS Trust collaborates with Cancer Support UK for vital workplace cancer training....

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Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.

A recent PubMed article explores patient views on AI in mental health care. Key...

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The Importance of Mentorship in Shaping Future Digital Health Leaders

The Importance of Mentorship in Shaping Future Digital Health Leaders

Mentorship shapes future digital health leaders. 🤝 It fosters growth, collaboration, and innovation in...

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Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.

Large language models can enhance depression detection through diary text analysis. 📖🤖 Early intervention...

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Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark.

Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark.

New research highlights a deep learning approach for tracking metastatic brain cancer. 📊🧠 NYUMets-Brain...

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