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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1392) Obstetrics, Gynecology, and Reproductive Medicine (428) Decision Support for Health Professionals (2310) New Methods and Approaches in Medical Education (663) Imaging Informatics (492) Machine Learning (3300) Generative Language Models Including ChatGPT (1598) Sex and Gender in Biomedical Engineering (20)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70107, first published .
Scientist analyzing data on multiple computer monitors in a modern lab.

Application of Large Language Models in Data Analysis and Medical Education for Assisted Reproductive Technology: Comparative Study

Application of Large Language Models in Data Analysis and Medical Education for Assisted Reproductive Technology: Comparative Study

Authors of this article:

Noriyuki Okuyama1 Author Orcid Image ;   Mika Ishii1 Author Orcid Image ;   Yuriko Fukuoka1 Author Orcid Image ;   Hiromitsu Hattori1, 2, 3 Author Orcid Image ;   Yuta Kasahara1, 2, 3 Author Orcid Image ;   Tai Toshihiro1, 2 Author Orcid Image ;   Koki Yoshinaga1 Author Orcid Image ;   Tomoko Hashimoto1 Author Orcid Image ;   Koichi Kyono1, 2, 3 Author Orcid Image
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  2. Wang J, Jia Z, Wu K, Liu P, Du J, Li L. Artificial intelligence in reproductive medicine and education: current evidence, challenges, and future directions. Journal of Assisted Reproduction and Genetics 2026 View
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