小児 otorhinolaryngologyにおける人工知能: 術後の指示の読解性,理解性,実行性を評価する
Alya AlZabin1, Hisham AlMutawa2, Lulwah AlTurki3
1College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
American journal of otolaryngology
|February 13, 2026
まとめ
人工知能 (AI) プラットフォームは,小児外科手術の指示を生成する際,さまざまなパフォーマンスを示しています. ChatGPTは読みやすさにおいて優れ,Geminiは理解しやすさにおいて優れ,DeepSeekは実行可能性において優れ,いずれも患者の教育基準を満たしていないため,AIトレーニングの改善が必要である.
科学分野:
- 医療情報工学 医療情報工学
- 医療における人工知能
- 患者教育についてです.
背景:
- 医療コミュニケーションにおける人工知能 (AI) の応用は拡大しているが,小児外科手術のための患者向け材料の作成におけるその有効性は未検討のままである.
- この研究では,小児 otorhinolaryngology (ORL) の手術のためのAIによって生成された術後の指示の可読性,理解性,および実行性を評価しています.
研究 の 目的:
- ChatGPT,Gemini,DeepSeekによって生成された小児のORL手術のための患者向きの術後の指示の質を比較する.
- 確立されたメトリックを使用して,AIによって生成された材料の可読性,理解性,および実行性を評価する.
主な方法:
- 標準化されたプロンプトは,ChatGPT,Gemini,DeepSeekという3つのAIプラットフォームから術後の指示を生成するために使用されました.
- Flesch-Kincaid Reading Ease (FKRE) とGrade Level (FKGL) を用いて読みやすさを測定した.
- 理解性と実行可能性は,PEMAT-P (Patient Education Materials Assessment Tool for Printable Materials) で評価され,その後統計分析が行われました.
主要な成果:
- ChatGPTは優れた読みやすさ (FKRE 64.57,FKGL 7.40) を示し,Geminiは理解しやすさ (83.20%) でリードし,DeepSeekは実行性 (71.10%) でリードしました.
- AIプラットフォームのいずれも,すべての適正性基準 (FKGL <6,FKRE >60,PEMAT-P >80%) を同時に満たしていない.
- FKREとFKGL (r=-0.711) とFKREと理解性 (r=-0.669) の間には,有意な逆相関が認められた.
結論:
- 現在のAIプラットフォームには明確な強みがありますが,小児ORL手術のための最適な患者教育資料を一貫して提供していません.
- 小児科および介護者特有のデータによる強化されたAIトレーニングは,小児科での手術後の指導の質を改善するために不可欠です.
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