Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85206, first published .
Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Dou Liu   1, 2, 3 * , BSc ;   Ying Long   1, 3, 4 * , MD ;   Sophia Zuoqiu   5 , PhD ;   Di Liu   5, 6, 7 , PhD ;   Kang Li   6, 7 , PhD ;   Yiting Lin   8 , MBBS ;   Hanyi Liu   8 , MBBS ;   Rong Yin   5, 6, 7 * , PhD ;   Tian Tang   1, 3, 4 * , MD

1 Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China

2 Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, United States

3 Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China

4 Reproductive Medical Center, Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China

5 Department of Industrial Engineering, Sichuan University, Chengdu, China

6 West China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China

7 Med-X Center for Informatics, Sichuan University, Chengdu, China

8 West China School of Medicine, Sichuan University, Chengdu, China

*these authors contributed equally

Corresponding Author:

  • Tian Tang, MD
  • Department of Obstetrics and Gynecology
  • West China Second University Hospital of Sichuan University
  • Chengdu
  • China
  • Phone: 1 18081110066
  • Email: tiantang2016@scu.edu.cn