J. Ong

Evaluating large language model performance in US FDA regulatory science

This study compares the performance of three LLMs in extracting, analyzing, and synthesizing regulatory and clinical information from FDA drug reviews, guidance for the industry, and drug labels as accessed through their standard user interfaces, using antibiotics approved for complicated urinary tract infections between 2010 and 2025.