Tag: clinical decision support

Researchers argue that multi-step agentic AI systems break traditional clinical validation models and propose structured testing harnesses adapted from simulation, ...

Researchers have developed CLATS, a closed-loop adaptive triage framework that continuously optimizes clinical deterioration alert thresholds while balancing sensitivity against ...

Researchers in Leipzig corrected a hidden error in a Bayesian network and found the transparent AI model matched real tumor ...

A new review maps how artificial intelligence is transforming oncology drug discovery, clinical decision-making, and regulatory science from molecule design ...

Researchers at Somali National University have built a retrieval-augmented generation prototype that translates Somali symptom questions into evidence-grounded, page-cited medical ...

A multicenter survey of 1,160 Chinese nurses identifies four distinct AI literacy profiles and links training experience, education, attitudes, and ...

A Stanford-led team trained supervised machine learning models on nationally representative EHR-like survey data to identify people with untreated alcohol, ...

A sweeping new survey of 57 studies finds that machine learning and deep learning models report accuracy as high as ...

A new proof-of-concept framework reveals that aggregate accuracy conceals four-fold differences in dangerous-recommendation rates and stochastic failures among large language ...

A multicenter study of 150 children with achondroplasia shows that an explainable stacked ensemble model outperformed classical penalized statistical methods ...