使用大型语言模型筛选心血管药物开发摘要的实用方面：横断面研究。
Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study.
机构信息
Worldwide Medical and Safety, Pfizer Research and Development, Pfizer Inc, New York, NY, United States.
Pfizer Research and Development UK Ltd, Cambridge, United Kingdom.
出版信息
JMIR Med Inform. 2024 Sep 30;12:e64143. doi: 10.2196/64143.
Abstract
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.
摘要
心血管药物研发需要综合相关文献，包括适应证、作用机制、生物标志物和结局。这项简短的研究调查了 3 种大型语言模型在加速心血管药物研发应用文献筛选过程中的性能、成本和快速工程权衡。
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