緊急部門トリアージのためのBERTベースの大規模言語モデルの開発:実世界の会話を使用
Sukyo Lee1, Sumin Jung2, Jong-Hak Park1
1Department of Emergency Medicine, Korea University Ansan Hospital, Ansan-si, Gyeonggi-do 15355, Republic of Korea.
Journal of the American Medical Informatics Association : JAMIA
|February 6, 2026
まとめ
この研究では、患者の緊急度分類のために、実際の救急部門の会話でトレーニングされたBERTベースの大規模言語モデル(LLM)を開発しました。AIモデルは、緊急症例を正確に特定する上でChatGPTを大幅に上回りました。
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