Your browser doesn't support javascript.
loading
Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.
Tashiro, Yoshihiko; Aoki, Takeshi; Kobayashi, Nao; Tomioka, Kodai; Kumazu, Yuta; Akabane, Miho; Shibata, Hideki; Hirai, Takahito; Matsuda, Kazuhiro; Kusano, Tomokazu.
Afiliación
  • Tashiro Y; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Aoki T; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Kobayashi N; Anaut Inc., Tokyo, Japan.
  • Tomioka K; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Kumazu Y; Anaut Inc., Tokyo, Japan.
  • Akabane M; Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.
  • Shibata H; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Hirai T; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Matsuda K; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Kusano T; Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
J Hepatobiliary Pancreat Sci ; 31(2): 67-68, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37877501
ABSTRACT
Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can precisely identify intrahepatic vascular structures during laparoscopic liver resection in real time through color coding under bleeding and indocyanine green fluorescent imaging. The system supports real-time navigation and offers potentially safer laparoscopic or robotic liver surgery.
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Laparoscopía Límite: Humans Idioma: En Revista: J Hepatobiliary Pancreat Sci Año: 2024 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Laparoscopía Límite: Humans Idioma: En Revista: J Hepatobiliary Pancreat Sci Año: 2024 Tipo del documento: Article País de afiliación: Japón