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人工知能による歯科臨床教育の強化:臨床後の要約に関する洞察
Feng Luo1,2, Jinle Li3,4, Tianxu Zhang3,4
1State Key Laboratory of Oral Diseases, West China School of Stomatology, National Clinical Research Center for Oral Diseases, Sichuan University, Chengdu, 610041, China. luofeng0122@scu.edu.cn.
BMC medical education
|February 12, 2026
まとめ
研修生は,人工知能 (AI) ツールが,臨床的知識と診断推論を統合するために,臨床後の要約の間に貴重なものであることを発見します. AIはコミュニケーションを助けますが,専門性や倫理への影響については,さらなる調査が必要です.
科学分野:
- 医療教育 テクノロジー テクノロジー
- クリニカル・インフォマティックス
- 医療における人工知能
背景:
- 人工知能 (AI) は,伝統的な教学方法を強化するために,臨床教育にますます統合されています.
- 臨床後の要約は,患者の症例のレビュー,意思決定,および医療訓練の改善の分野を特定するために不可欠です.
研究 の 目的:
- 研修生によるAIツール (ChatGPT,DEEP SEEK) の認識を調査し,臨床後の要約をサポートする.
- 知識統合,診断推論,教師と生徒のコミュニケーション,そしてプロフェッショナリズムにおけるAIの有用性を評価する.
主な方法:
- 54人の参加者に対して,臨床後の経験の概要をまとめた横断調査が行われました.
- ライカルト型のアンケートでは,4つの主要な領域におけるAIの価値の認識を評価した.
- 記述的統計は,調査回答を分析するために使用されました.
主要な成果:
- 回答者の高い割合は,理論的知識の見直し (85.19%) と診断推論の明確化 (74.08%) にAIが役立つと回答しています.
- AIは,教師と生徒のコミュニケーションの深さ (74.07%) を高め,質問に対する自信 (72.22%) を高めると見なされた.
- AIがプロフェッショナリズム,倫理,責任に与える影響についての認識は,多くの中立的な反応と混在していました.
結論:
- AIのツールは,一般に,臨床的知識,診断推論,および臨床後の要約におけるコミュニケーションを強化するために有益であると見られています.
- プロフェッショナリズムや倫理などの非技術的な能力に対するAIの影響については,さらなる調査が必要である.
- 将来の研究は,これらの探索的発見を検証するために,定性データと客観的な測定を組み込むべきである.
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