1. Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model...
1. Afshar and colleagues evaluated an artificial intelligence (AI) scribe’s ability to produce clinical documentation and alleviate work exhaustion. 2....
1. Kumar and colleagues assessed LLM’s ability to translate discharge summary notes into plain language to improve patient comprehension. 2....
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. 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...
