Tag: clinical decision support

A blinded study of 113 urodynamic reports found that artificial intelligence models achieved perfect numerical extraction and substantial agreement with ...

A comprehensive academic appraisal argues that explainable artificial intelligence remains essential for clinical oversight and human-machine interaction despite persistent technical ...

A sequential dual-layer edge computing framework integrates soft-voting intrusion detection and gradient boosting to screen clinical network traffic and patient ...

Researchers developed CardioTwin-AI, an adaptive digital twin framework that achieved 90.21 percent accuracy in predicting heart disease during internal validation.

A randomized controlled trial revealed that paper checklists significantly reduced scenario duration and improved adherence to critical steps during simulated ...

A cross-sectional survey of UK patients found that the absence of human supervision was the leading factor perceived to undermine ...

JMIR Medical Informatics has issued a call for papers for a new e-collection advancing planetary health informatics across clinical, environmental, ...

Researchers developed an interpretable machine learning model and web-based tool to forecast postoperative in-hospital mortality in patients with acute aortic ...

A European survey of 874 patient community respondents found widespread recognition of healthcare artificial intelligence benefits alongside significant concerns regarding ...

A systematic review and pooled meta-analysis of four clinical studies found that large language models achieved 73 percent concordance with ...