Tag: clinical decision support

YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...

DROID-RV estimated right-ventricular size and function from echocardiogram videos, while predictions in a primary-care cohort were associated with heart failure, ...

A narrative review of 53 studies finds that artificial intelligence can extract and analyze brain-tumor symptom data, but limited validation ...

A multimodal artificial-intelligence system approached glaucoma specialists’ accuracy in a small, single-center retrospective study of early primary open-angle glaucoma.

A 2026 perspective proposes that large language models could integrate genetic and clinical records to identify possible pharmacogenomic phenoconversion, while ...

Researchers propose a three-step framework—Ask, Audit, Apply—to guide clinicians in reasoning safely and accountably with AI-powered decision support tools.

A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its ...

A new counterfactual machine learning framework estimates how alternative acute nursing care strategies would individually affect critically ill oncology patients ...

University of Colorado physicians describe an electronic health record pathway designed to catch obesity hypoventilation syndrome in hospitalized patients, where ...

A new perspective in the Journal of General Internal Medicine argues that clinicians' discretionary use of AI can reproduce or ...