Article

Evaluating Large Language Models’ Performance in FDA Regulatory Science

2026-02-06

Abstract excerpt

<title>Abstract</title> <p> Background Clinical and population decision-making relies on the systematic evaluation of extensive regulatory evidence. The FDA drug reviews provide detailed information on clinical trial design, enrollment criteria, sample size, randomization, comparators, endpoints, and indications. However, extracting these data is resource-intensive and time-consuming. Generative Artificial Inte...

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Literature Corpus work: 4e3717ca-7f86-56f5-8226-fa9bb6e1742d
DOI: 10.21203/rs.3.rs-8611276/v1

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