Cardiovascular drug development requires synthesizing relevant literature about indications, mechanisms, biomarkers, and outcomes. This short study investigates the performance, cost, and prompt engineering trade-offs of 3 large language models accelerating the literature screening process for cardiovascular drug development applications.
Keywords: AI; GPT; LLM; artificial intelligence; biomarker; biomedical; biomedical informatics; cardio; cardiology; cardiovascular; cross-sectional study; drug; drug development; large language model; screening optimization.
© Jay G Ronquillo, Jamie Ye, Donal Gorman, Adina R Lemeshow, Stephen J Watt. Originally published in JMIR Medical Informatics (https://medinform.jmir.org).