Crossmark

Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel

Crossref DOI link: https://doi.org/10.1007/s40264-025-01520-1

Published Online: 2025-02-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wu, Leihong https://orcid.org/0000-0002-4093-3708
Fang, Hong

Qu, Yanyan

Xu, Joshua

Tong, Weida
License Information

Text and Data Mining valid from 2025-02-20

Version of Record valid from 2025-02-20
More Information

Article History

Accepted: 20 January 2025

First Online: 20 February 2025

Declarations

:

: Not applicable.

: The authors declared no conflicts of interest.

: The views presented in this article do not necessarily reflect those of the US Food and Drug Administration. Any mention of commercial products is for clarification and is not intended as an endorsement.

: Not applicable.

: Not applicable.

: Not applicable.

: The FDALabel database can be accessed from . All data used in this study can be found in the electronic supplementary material (Online resources 3–5).

: The prompt and SQL query used in the study can be found in the electronic supplementary material (Online resource 1).

: LW and WT initiated the concept; LW, JX, YQ, and HF did the experiment and data analysis; LW, HF, and WT wrote the first draft of the manuscript. All authors read and revised the manuscript.

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