A retrospective two-center study demonstrates that a LightGBM machine learning model accurately predicts late recurrent intussusception in children following successful ...
A German mixed-methods pilot study evaluated the implementation, acceptability, and clinical utility of a decision-support warning list for potentially sedating ...
A new clinical evaluation framework using lightweight language models reliably assesses online mental health educational articles across twenty specialized criteria, ...
A randomized experimental study of 122 dental faculty and students found no significant difference in overall radiographic diagnostic accuracy across ...
A review in Medicine Plus evaluates artificial intelligence across osteosarcoma imaging and outlines the external validation and workflow integration required ...
A narrative review synthesises evidence on conservative versus surgical care for elderly wrist fractures and maps the realistic clinical readiness ...
A retrospective study of 114 patients found substantial concordance between tumor board decisions and recommendations from two large language models ...
In a comparative study of one hundred cardiac surgery records, ChatGPT substantially outperformed the domain-specific OpenBioLLM model in generating personalized ...
A machine learning model trained on routine laboratory tests identified comorbid heart failure in patients with chronic obstructive pulmonary disease.
A survey of 305 New York State clinical providers found that artificial intelligence tool use grew from 18.3 percent in ...
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