放射線画像解釈における効率的なマルチモーダル推論のための大規模言語モデルのリソース利用と診断精度の関係
Taewon Han1, Jeong Hyun Lee1, Woo Kyoung Jeong1
1Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, the Republic of Korea.
European journal of radiology
|January 23, 2026
まとめ
マルチモーダル推論モデルは、記述的なテキストで診断精度が向上するが、効率のためにはプロンプトの最適化が鍵となる。モデルアーキテクチャがベースラインパフォーマンスを決定し、プロンプトがその限界内で効率を向上させる。
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