内視鏡における人工知能の臨床実装:人間と人工知能の相互作用の観点から
Eun Jeong Gong1,2, Chang Seok Bang1,2
1Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.
The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi
|January 23, 2026
まとめ
内視鏡における人工知能(AI)は有望ですが、現実世界での課題に直面しています。自動化バイアスや無視などの人間とAIの相互作用の問題はパフォーマンスを低下させる可能性があり、注意深い実装と継続的な人間の専門知識の必要性を強調しています。
科学分野:
- 消化器病学; 医療人工知能; ヒューマンコンピュータインタラクション
背景:
- 人工知能(AI)は、消化管病変の検出において高い精度を示しています。; 技術的能力にもかかわらず、現実世界の研究では、内視鏡検査におけるAIの一貫性のない結果が示されています。; ヒューマンファクターは、臨床現場におけるAIの効果に大きく影響します。
主な方法:
- 内視鏡検査におけるAI実装研究のレビュー。; 自動化無視やバイアスなどの認知的バイアスに焦点を当てた人間とAIの相互作用の分析。; 52件の人間とAIのチーム研究の体系的な分析。
結論:
- AIの進歩にもかかわらず、人間の専門知識と臨床判断を維持することが最も重要です。; 説明可能なAI、人間中心のデザイン、および調整された教育などの戦略は、効果的なAI統合に不可欠です。; AIは、内視鏡検査における臨床医の意思決定をサポートするツールとして、置き換えるものではなく、支援するものとして見なされるべきです。
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