![PFO closure equivalent to medical management in prevention of recurrent stroke [PC and RESPECT trials]](data:image/svg+xml;nitro-empty-id=NjQwOjE1MDg=-1;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMSAxIiB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)
1. Upton and colleagues assessed the appropriateness of coronary angiography referrals made by clinicians working independently or with an AI...
1. Dagan and colleagues developed machine learning (ML) models using retrospective patient data to identify potential hepatitis C virus (HCV)...
1. Natesan and colleagues conducted a post hoc economic analysis of a trial that identified cancer patients at high risk...
1. Aklilu and colleagues conducted an artificial intelligence computer vision (CV) model to detect surgical techniques during laparoscopic cholecystectomies. 2....
1. Kamran and colleagues used a retrospective inpatient cohort to evaluate the Epic sepsis model (ESM)’s ability to predict sepsis...
1. Machine learning (ML) models developed by Lehmann and colleagues used driving characteristics and head motion data to detect hypoglycemic...
1. Patel and colleagues conducted a secondary economic analysis of a trial that assigned high-risk cancer patients to serious illness...
1. A randomized controlled trial by Lin and colleagues compared artificial intelligence (AI) to standard care in triaging suspected cases...
1. Unlu and colleagues compared RECTIFIER, a large language model (LLM), against human study staff to evaluate patient eligibility for...
1. A cross-over study compared clinicians’ electroencephalogram (EEG) interpretation accuracy with artificial intelligence (AI) assistance against the same participants without...
