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Using AI and computer vision to analyze technical proficiency in robotic surgery.
Yang, Janice H; Goodman, Emmett D; Dawes, Aaron J; Gahagan, John V; Esquivel, Micaela M; Liebert, Cara A; Kin, Cindy; Yeung, Serena; Gurland, Brooke H.
Afiliación
  • Yang JH; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Goodman ED; Department of Biomedical Data Science, Stanford University, David Packard Electrical Engineering, 350 Serra Mall, Stanford, CA, USA.
  • Dawes AJ; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Gahagan JV; Department of Biomedical Data Science, Stanford University, David Packard Electrical Engineering, 350 Serra Mall, Stanford, CA, USA.
  • Esquivel MM; Section of Colorectal Surgery, Division of General Surgery, Department of Surgery, Stanford University School of Medicine, 300 Pasteur Dr H3639, Stanford, CA, 94305, USA.
  • Liebert CA; Surgical Policy Improvement Research and Education Center (S-SPIRE), Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Kin C; Section of Colorectal Surgery, Division of General Surgery, Department of Surgery, Stanford University School of Medicine, 300 Pasteur Dr H3639, Stanford, CA, 94305, USA.
  • Yeung S; Division of General Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Gurland BH; Division of General Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Surg Endosc ; 37(4): 3010-3017, 2023 04.
Article en En | MEDLINE | ID: mdl-36536082
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Texto completo: 1 Colección: 01-internacional Asunto principal: Procedimientos Quirúrgicos Robotizados / Cirujanos Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Asunto principal: Procedimientos Quirúrgicos Robotizados / Cirujanos Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos