Large language models (LLMs) performed poorly in navigating early clinical diagnostic uncertainty
1. Rao and colleagues evaluated the clinical reasoning performance of 21 off-the-shelf LLMs across 29 standardized clinical vignettes. 2. While ...
1. Rao and colleagues evaluated the clinical reasoning performance of 21 off-the-shelf LLMs across 29 standardized clinical vignettes. 2. While ...
1. A study from Brown University identified multiple ethical risks in artificial intelligence therapy chatbots, including deceptive empathy and biased ...
1. A new AI workflow utilizing large language models can predict with 99% accuracy which ulcerative colitis patients will remain ...
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. Anderson and colleagues evaluated clinical staff’s response time to patient-sent messages with NLP labelling against that of staff without ...
1. Liang and colleagues retrospectively compared Generative Pretrained Transformer 4 (GPT-4)’s comments on scientific papers to those of human peer ...
1. A comparative evaluation tested five publicly available LLMs on 2044 oncology questions, covering comprehensive topics in the field. The ...
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