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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/97221, first published .
Two female doctors in white coats review medical scans and tablet data.

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality

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 ;   Kaipeng Xie   5 , BSc ;   Runze Yang   5 , BSc ;   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, Sichuan, 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, Sichuan, China

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

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

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

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

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

*these authors contributed equally

Corresponding Author:

  • Rong Yin, PhD
  • Department of Industrial Engineering
  • Sichuan University
  • No.37, Guoxue Lane, Wuhou District
  • Chengdu, Sichuan
  • China
  • Phone: 86 17208267909
  • Email: rong.yin@scupi.cn