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Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.
Pangal, Dhiraj J; Kugener, Guillaume; Zhu, Yichao; Sinha, Aditya; Unadkat, Vyom; Cote, David J; Strickland, Ben; Rutkowski, Martin; Hung, Andrew; Anandkumar, Animashree; Han, X Y; Papyan, Vardan; Wrobel, Bozena; Zada, Gabriel; Donoho, Daniel A.
Afiliación
  • Pangal DJ; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Kugener G; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Zhu Y; Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
  • Sinha A; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Unadkat V; Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
  • Cote DJ; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Strickland B; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Rutkowski M; Department of Neurosurgery, Medical College of Georgia, Augusta, GA, USA.
  • Hung A; Center for Robotic Simulation and Education, USC Institute of Urology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Anandkumar A; Department of Computer Science + Mathematics, California Institute of Technology, Pasadena, CA, USA.
  • Han XY; Nvidia Corp., Santa Clara, CA, USA.
  • Papyan V; Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA.
  • Wrobel B; Department of Mathematics, University of Toronto, Toronto, ON, Canada.
  • Zada G; Department of Otolaryngology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
  • Donoho DA; Department of Neurosurgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Sci Rep ; 12(1): 8137, 2022 05 17.
Article en En | MEDLINE | ID: mdl-35581213
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cirujanos / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cirujanos / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos