人工知能は証拠に準拠できるのか? ChatGPT-4oの膝関節炎における効能 手術ガイドライン
Fernando García-Sanz1,2, María Bravo-Aguilar1, Lorena Canosa-Carro1
1Faculty of Medicine, Health and Sport, Universidad Europea de Madrid, Villaviciosa de Odón, Madrid, Spain.
The journal of knee surgery
|February 13, 2026
まとめ
ChatGPT-4oは,全膝関節整形の手術のガイドラインを再現する際に中程度の精度 (60%) を示し,テキストの一貫性は低い. 臨床使用には慎重な統合と監督が必要である.
科学分野:
- 整形外科 整形外科
- 医療における人工知能
- クリニカル・プラクティスのガイドライン
背景:
- ChatGPTのような大型言語モデル (LLM) は,医療においてますます採用されています.
- 根拠に基づいた臨床実践ガイドライン (CPG) を複製するLLMの信頼性は十分に確立されていません.
- CPGの正確な再現は,安全で効果的な患者ケアに不可欠です.
研究 の 目的:
- ChatGPT-4oの膝関節炎および膝関節整形手術 (TKA) のCPGの推奨を再現する性能を評価する.
- 確立された整形外科のガイドラインに対して,ChatGPT-4oの応答の正確性と一貫性を評価する.
主な方法:
- 米国整形外科医アカデミー (TKA CPG) の20の勧告が,臨床質問に変換されました.
- テキストの一貫性を評価するために,複数の独立したセッションでChatGPT-4oに質問が提出されました.
- 回答は2人の独立した専門家によって評価され,CPGフレームワークに対して分類されました.
- 合意とアラインメントは,コーエンとフライスのカッパ係数を用いて統計的に分析されました.
主要な成果:
- ChatGPT-4oは,TKAのCPGと60%の一致を達成し,公正な合意を示した (κ=0.392).
- 内部テキストの一貫性は低く,いくつかの回答は試験間の<50%の類似性を示しました.
- 評価者間の信頼性は中等から完璧であった (κ=0.547-0.946).
- 特に機能的結果とリハビリテーション戦略の不一致が指摘されました.
結論:
- ChatGPT-4oは,TKA CPGを再現する際に,適度な精度と異質な信頼性を実証しました.
- モデルの変動性と不完全な遵守は,慎重な臨床統合と専門的な監督を必要とします.
- LLMは,教育と患者とのコミュニケーションのための支援ツールとして機能しますが,慎重に検証する必要があります.
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