医療教育に人工知能を統合する:現在のアプリケーション,課題,そして将来の方向性についての物語的な体系的なレビュー
1Aga Khan University Hospital, Karachi, Pakistan. zeeshanallana@gmail.com.
BMC medical education
|August 24, 2025
まとめ
人工知能 (AI) は,診断と管理のための新しいツールを提供することで,医療教育を変革しています. 倫理的な懸念やカリキュラムのギャップなどの課題に対処することは,医療訓練にAIを効果的に統合するために不可欠です.
科学分野:
- 医学教育
- 医療における人工知能の応用
背景:
- 人工知能 (AI) は医療サービスや医療教育構造に 影響を及ぼしつつある.
- 統合は学部,大学院,および継続的な医学教育を網羅しています.
研究 の 目的:
- 医学教育におけるAI統合に関する現在の研究を統合する.
- AI採用のためのアプリケーション,課題,および勧告を特定する.
主な方法:
- 14件の研究の記述レビュー
- PRISMA 2020のガイドラインに従った
- PROSPEROに登録されたプロトコル (ID: 1109025).
主要な成果:
- AIのアプリケーションには診断支援,カリキュラムの再設計,強化された評価,行政の簡素化が含まれます.
- 倫理的なジレンマ,検証されたカリキュラムの欠如,限られた経験的研究,インフラ上の制約
- 医療訓練のレベルを超えて AI の様々な用途を強調しています
結論:
- 構造化されたAIカリキュラム,教員育成,学際協力の必要性
- 倫理的に健全な実践と段階的,学習者中心の採用アプローチを提唱しています.
- 推奨事項は,医療教育にAIを持続的かつ公平に統合することを目的としています.
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