1. Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The...
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. Implementing a structured POCUS protocol for inpatients with undifferentiated dyspnea was associated with a 30% reduction in length of...
1. Measurement-based care (MBC) significantly accelerates recovery from major depressive disorder, leading patients to achieve response and remission in half...
1. Anderson and colleagues evaluated clinical staff’s response time to patient-sent messages with NLP labelling against that of staff without...
1. 30- and 60-minute C-peptide levels during an oral glucose tolerance test (OGTT) at 16–18 weeks gestation were significantly elevated...
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...
