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人工知能(AI),特にdeep learningの進展は医療分野における画像解析に革命をもたらしつつある.AIを活用することで医療従事者の主観に依存しない,客観的かつ迅速な評価が可能となり,適切な意思決定支援が期待されている.すでに皮膚癌の分類,大腸内視鏡検査におけるポリープ認識,上部消化管内視鏡による胃癌の診断,眼底写真による糖尿病性網膜症の検出など,診断領域では広く応用がすすんでいる.
Artificial intelligence (AI) is increasingly enabling multifaceted support in robot-assisted esophagectomy, including automated recognition of surgical phases, identification of critical anatomical structures, and assessment of surgical skills. AI facilitates real-time visualization of surgical progress, reduces the risk of complications, and enhances surgical education. In particular, AI-based support for identifying the recurrent laryngeal nerve and alerting excessive traction serves as a powerful aid to surgeons, contributing to improved surgical quality and safety as a next-generation navigation tool.

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