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Using Real-time Feedback To Improve Surgical Performance on a Robotic Tissue Dissection Task.
Laca, Jasper A; Kocielnik, Rafal; Nguyen, Jessica H; You, Jonathan; Tsang, Ryan; Wong, Elyssa Y; Shtulman, Andrew; Anandkumar, Anima; Hung, Andrew J.
Afiliación
  • Laca JA; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Kocielnik R; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Nguyen JH; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • You J; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Tsang R; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Wong EY; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
  • Shtulman A; Thinking Lab, Department of Psychology, Occidental College, Los Angeles, CA, USA.
  • Anandkumar A; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Hung AJ; Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
Eur Urol Open Sci ; 46: 15-21, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36506257

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Eur Urol Open Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Eur Urol Open Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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