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

BackgroundAdvances in genetics have underscored a strong association between genetic factors and health outcomes, leading to an increased demand for genetic counseling services. However, a shortage of qualified genetic counselors poses a significant challenge. Large language...

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Main Authors: Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki
Format: Article
Language:English
Published: JMIR Publications 2025-01-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2025/1/e65047
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