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

AI Language Models in Health Care (159) Big Data (303) Natural Language Processing (861) Secondary Use of Clinical Data for Research and Surveillance (449) Methods and Instruments in Medical Informatics (177) Precision Medicine and Genetics (72) Generative Language Models Including ChatGPT (618) AI applications in genomics and pathology informatics, including ‘Generative AI’ (17) Machine Learning (1937)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65047, first published .
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Authors of this article:

Takuya Fukushima1 Author Orcid Image ;   Masae Manabe2 Author Orcid Image ;   Shuntaro Yada1, 3 Author Orcid Image ;   Shoko Wakamiya1 Author Orcid Image ;   Akiko Yoshida4 Author Orcid Image ;   Yusaku Urakawa5, 6, 7 Author Orcid Image ;   Akiko Maeda5 Author Orcid Image ;   Shigeyuki Kan8 Author Orcid Image ;   Masayo Takahashi8 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
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