1. Curry and colleagues tested an artificial intelligence (AI) software that guided non-radiology specialists in diagnosing proximal deep vein thrombosis...

1. Liang and colleagues retrospectively compared Generative Pretrained Transformer 4 (GPT-4)’s comments on scientific papers to those of human peer...

1. Kazemzadeh and colleagues evaluated the performance of AI systems that detect TB and chest X-ray abnormalities against that of...

1. Liu and colleagues compared efficiency between two groups of clinicians, with one group using an artificial intelligence (AI)-powered documentation...

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...