1. Day and colleagues randomized sonographers to scan pregnant participants with AI assistance or the standard method for congenital heart...

1. Bernstein and colleagues evaluated potential jurors’ perception of culpability of a radiologist in a hypothetical false-negative diagnosis malpractice case....

1. Anderson and colleagues evaluated clinical staff’s response time to patient-sent messages with NLP labelling against that of staff without...

1. Jaeckle and colleagues assessed the performance of machine learning models to diagnose celiac disease based on duodenal biopsies. 2....

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)...