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The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists
Abstract Diagnostic error remains a major patient safety challenge in hospital medicine. Large language models (LLMs) are increasingly used by clinicians to aid in diagnosis, yet most lack a structured approach for doing so safely and effectively. In this piece, we propose a practical, clinician‐centered framework for LLM‐assisted diagnosis.
Peter Barish +2 more
wiley +1 more source
Abstract Background Bacterial peritonitis in patients with malignant ascites (BP‐MA) is an understudied, high‐mortality condition. While ascitic polymorphonuclear (PMN) cell count ≥ 250 cells/mm3 defines the diagnosis of spontaneous bacterial peritonitis (SBP) in patients with cirrhosis, an ascitic fluid parameter for the diagnosis of BP‐MA has not ...
Mark M. Kelly +4 more
wiley +1 more source
This dual bibliometric analysis examined 5129 publications and the top 100 most cited publications on bioinformatics and omics in colorectal cancer (2004–2025) from the Web of Science Core Collection. Using SCImago Graphica, VOSviewer, CiteSpace, and R Studio, we analyzed global trends, countries/regions, institutions, journals, authors, references ...
Yue Huang +7 more
wiley +1 more source
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