Tag: clinical decision support

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 ...

Researchers have built a temporal-aware retrieval-augmented generation framework that helps large language models generate safer, evidence-based treatment plans for idiopathic ...

A multicenter machine learning study of 3,000 appendicitis patients shows that routine blood indices and ultrasound signs of barrier failure ...

A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...