Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
Young Mi Ha
1
, MSc ;
Minjung Kim
1
, PharmD ;
YoungIn Bang
2
;
Daejin Choi
3, 4
, PhD ;
Jae Hyun Kim
5
, PhD ;
Sandy Jeong Rhie
1, 2
, PharmD, PhD ;
Yoshihiro Noguchi
6
, PhD ;
Myeong Gyu Kim
1, 2, 4
, PhD
1
Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
2
College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
3
College of Artificial Intelligence, Ewha Womans University, Seoul, Republic of Korea
4
Human-Centered Artificial Intelligence Research Institute, Ewha Womans University, Seoul, Republic of Korea
5
School of Pharmacy and Institute of New Drug Development, Jeonbuk National University, Jeonju, Republic of Korea
6
Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan
Corresponding Author:
-
Myeong Gyu Kim, PhD
-
Graduate School of Pharmaceutical Sciences
-
Ewha Womans University
-
52 ewhayeodae-gil seodaemun-gu
-
Seoul 03760
-
Republic of Korea
-
Phone:
82 02-3277-3102
-
Email: kimmg@ewha.ac.kr