靛蓝胭脂红
彩色内窥镜
医学
模态(人机交互)
人工智能
计算机视觉
结肠镜检查
内科学
计算机科学
核化学
癌症
化学
结直肠癌
作者
Ryosuke Sato,Kazuyuki Matsumoto,Hideaki Kinugasa,Masahiro Tomiya,Takayoshi Tanimoto,Akimitsu Ohto,Kei Harada,Nao Hattori,Taisuke Obata,Akihiro Matsumi,Kazuya Miyamoto,Kosaku Morimoto,Hiroyuki Terasawa,Yuki Fujii,Daisuke Uchida,Koichiro Tsutsumi,Shigeru Horiguchi,Hironari Kato,Yoshiro Kawahara,Motoyuki Otsuka
标识
DOI:10.1016/j.gie.2024.06.013
摘要
Accurately diagnosing biliary strictures is crucial for surgical decisions, and although peroral cholangioscopy (POCS) aids in visual diagnosis, diagnosing malignancies or determining lesion margins via this route remains challenging. Indigo carmine is commonly used to evaluate lesions during GI endoscopy. We aimed to establish the utility of virtual indigo carmine chromoendoscopy (VICI) converted from POCS images using artificial intelligence.
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