LLMs extract clinical event timelines from GLP-1RA case reports with 0.87 event coverage and 0.84 temporal accuracy, enabling a time-to-event analysis that finds lower respiratory risk (HR 0.259) among users.
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? In: Al-Onaizan Y , Bansal M, Chen YN, editors
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Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling
LLMs extract clinical event timelines from GLP-1RA case reports with 0.87 event coverage and 0.84 temporal accuracy, enabling a time-to-event analysis that finds lower respiratory risk (HR 0.259) among users.