胃と腸57巻10号

2022年09月発行

今月の主題 大腸腫瘍診療の最前線 主題

人工知能（AI）を用いた大腸内視鏡検査の最前線—拾い上げ診断

著者： 落合健太郎¹²³ 多田智裕²³ 柴田淳一²³ 永尾清香⁴ 辻陽介⁴ 藤城光弘⁴ 石原聡一郎¹

所属機関： ¹東京大学医学部附属病院大腸肛門外科 ²ただともひろ胃腸科肛門科 ³株式会社AIメディカルサービス ⁴東京大学医学部附属病院消化器内科

ページ範囲：P.1298 - P.1304

要旨●大腸内視鏡検査時の腺腫検出率（ADR）は大腸癌の発生リスクと相関するため，ポリープの確実な検出と切除を行ううえで重要な指標である．近年deep learning技術の登場や医用画像のデジタル化・高解像度化，汎用計算機の高性能化に伴い，内視鏡画像診断分野においても人工知能によるコンピュータ支援診断技術（CAD）の研究開発が盛んに行われている．中でも大腸領域は複数のCADが販売開始され社会実装されつつあり，今後はリアルワールドでの性能や有用性を検討する段階に入っている．CADはその機能により病変検出支援（CADe）と，質的診断支援（CADx）に大別される．本稿ではこのうち，CADeシステムに焦点を当て，最新の研究成果，製品販売状況，今後の課題と展望について概説する．

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