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Novel navigation for laparoscopic cholecystectomy fusing artificial intelligence and indocyanine green fluorescent imaging.
Tashiro, Yoshihiko; Aoki, Takeshi; Kobayashi, Nao; Tomioka, Kodai; Saito, Kazuhiko; Matsuda, Kazuhiro; Kusano, Tomokazu.
Afiliación
  • Tashiro Y; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Aoki T; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Kobayashi N; Anaut Inc., Tokyo, Japan.
  • Tomioka K; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Saito K; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Matsuda K; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Kusano T; Department of General and Gastroenterological Surgery, Showa University School of Medicine.
J Hepatobiliary Pancreat Sci ; 31(5): 305-307, 2024 May.
Article en En | MEDLINE | ID: mdl-38558533
ABSTRACT
This preliminary study is the first to demonstrate that AI can precisely identify loose connective tissue during laparoscopic cholecystectomy and ICG fluorescent cholangiography. Tashiro and colleagues conclude that this novel real-time navigation modality fusing AI and ICG fluorescent imaging may enhance safety and provide more reliable laparoscopic or robotic surgery.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Colecistectomía Laparoscópica / Verde de Indocianina Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Colecistectomía Laparoscópica / Verde de Indocianina Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article