腫瘍学におけるAIの導入:グローバルな文脈における教育と臨床統合の体系的なレビュー
Talia Tene1, Diego Fabián Vique López2, Paulina Elizabeth Valverde Aguirre3
1Department of Chemistry, Universidad Técnica Particular de Loja, Loja, Ecuador.
Frontiers in digital health
|February 20, 2026
まとめ
人工知能 (AI) は,パーソナライズされた学習体験を提供することで,腫瘍学教育を強化しています. AIツール,特に大型言語モデルチャットボットは,医療従事者や患者の知識保持と診断スキルを向上させます.
科学分野:
- 腫瘍学 腫瘍学
- 医療教育 医療教育について
- 人工知能 (AI) とは,人工知能 (AI) のことです.
背景:
- 世界的な癌の負担と医療へのアクセスの格差は,腫瘍学のAIへの関心を誘発しています.
- 腫瘍学教育におけるAIの統合は,将来の医療従事者の養成に不可欠です.
研究 の 目的:
- 腫瘍学教育と臨床実務におけるAIのグローバル統合を体系的に分析する.
- 腫瘍学における医療従事者の研修におけるAIの役割を強調する.
主な方法:
- PRISMAとPICOのガイドラインに従って,体系的なレビューを行う.
- 2019-2024年の研究について,PubMed,Scopus,IEEE Xploreで検索しました.
- AIベースの腫瘍学教育介入の経験的評価を含み,パフォーマンス,エンゲージメント,スキル開発の成果を抽出しました.
主要な成果:
- 大型言語モデルチャットボット (例えば,ChatGPT) を含むAIツールが,患者および専門的な腫瘍学教育でますます使用されています.
- 観察されたポジティブな成果には,知識保持の強化,診断推論の改善,エンゲージメントの強化が含まれています.
結論:
- AIは,パーソナライズされ,アクセシブルな学習でがん教育に革命を起こしています.
- 戦略的なAIの統合,検証,公平なアクセスは,腫瘍学における世界的な影響の鍵です.
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