Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study

Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study

Pharmacovigilance plays a crucial role in ensuring the safety of pharmaceutical products. It involves the systematic monitoring of adverse events and the detection of potential safety concerns related to drugs. Manual literature screening for pharmacovigilance related articles is a labor-intensive a...

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Bibliographic Details
Main Authors:	Dan Li, Leihong Wu, Mingfeng Zhang, Svitlana Shpyleva, Ying-Chi Lin, Ho-Yin Huang, Ting Li, Joshua Xu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-06-01
Series:	Frontiers in Drug Safety and Regulation
Subjects:	pharmacovigilance large language models LLMs literature based discovery artificial intelligence
Online Access:	https://www.frontiersin.org/articles/10.3389/fdsfr.2024.1379260/full
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