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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.

Machine learning based analysis of leucocyte cell population data by Sysmex XN series hematology analyzer for the diagnosis of bacteremia.

Machine learning based analysis of leucocyte cell population data by Sysmex XN series hematology analyzer for the diagnosis of bacteremia.

Machine learning enhances bacteremia diagnosis using Sysmex XN analyzer: AUC 0.768, sensitivity 73.6%, specificity...

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Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.

Passive sensing & ML enhance mental health monitoring. 42 studies show 92.16% accuracy in...

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Artificial intelligence across the cancer care continuum.

Artificial intelligence across the cancer care continuum.

AI enhances oncology from risk assessment to treatment, improving accuracy and personalization. Key challenges...

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Analysis and Mapping of Machine Learning in the Context of Diabetes.

Analysis and Mapping of Machine Learning in the Context of Diabetes.

Machine learning in diabetes research: 5,222 studies analyzed, USA leads in publications. 📈🤖

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Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs.

Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs.

AI boosts pelvic X-ray accuracy by 8% and cuts reading time by 57% in...

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Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review.

Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review.

AI in Medical Imaging: Economic Benefits & Equity Challenges 📊🤖

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Automatic segmentation of clear cell renal cell carcinoma based on deep learning and a preliminary exploration of the tumor microenvironment.

Automatic segmentation of clear cell renal cell carcinoma based on deep learning and a preliminary exploration of the tumor microenvironment.

Deep learning enhances ccRCC diagnosis with 96.67% accuracy, revealing TME's role in immunotherapy response....

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An adjuvant database for preclinical evaluation of vaccines and immunotherapeutics.

An adjuvant database for preclinical evaluation of vaccines and immunotherapeutics.

New adjuvant database enhances vaccine evaluation with transcriptomic data, predicting efficacy and toxicity across...

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Elucidating Celecoxib’s Preventive Effect in Capecitabine-Induced Hand-Foot Syndrome Using Medical Natural Language Processing.

Elucidating Celecoxib’s Preventive Effect in Capecitabine-Induced Hand-Foot Syndrome Using Medical Natural Language Processing.

Celecoxib may reduce capecitabine-induced hand-foot syndrome risk by 49%. NLP effectively identifies HFS in...

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