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

Takuya Fukushima,Masae Manabe,Shuntaro Yada,Shoko Wakamiya,Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan,Masayo Takahashi,Eiji Aramaki

JMIR medical informatics(2025)

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Key words
large language models,genetic counseling,medical,health,artificial intelligence,machine learning,domain adaptation,retrieval-augmented generation,instruction tuning,prompt engineering,question-answer,dialogue,ethics,safety,low-rank adaptation,Japanese,expert evaluation
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