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Capturing fine-grained details for video-based automation of suturing skills assessment.

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第一作者： Andrew J,Hung

第一单位： Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA. Andrew.Hung@med.usc.edu.

作者： Andrew J,Hung ^[1] ; Richard,Bao ^[2] ; Idris O,Sunmola ^[3] ; De-An,Huang ^[4] ; Jessica H,Nguyen ^[5] ; Anima,Anandkumar ^[2]

作者单位： Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA. Andrew.Hung@med.usc.edu. ^[1] Department of Computing & Mathematical Sciences, Caltech, Pasadena, CA, USA. ^[2] McCormick School of Engineering, Northwestern University, Evanston, IL, USA. ^[3] NVIDIA, Santa Clara, CA, USA. ^[4] Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA. ^[5]

关键词 Artificial intelligence Machine learning Robotic surgery Surgeon performance Technical skill