Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning.

Journal: Surgical endoscopy
PMID:

Abstract

OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.

Authors

  • Nasseh Hashemi
    Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. nasseh.hashemi@gmail.com.
  • Matias Mose
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Lasse R Østergaard
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Flemming Bjerrum
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
  • Mostaan Hashemi
    Department of Computer Science, Aalborg University, Aalborg, Denmark.
  • Morten B S Svendsen
    CAMES Engineering, Copenhagen Academy of Medical Education and Simulation, Capital Region of Denmark, Copenhagen, Denmark.
  • Mikkel L Friis
    Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
  • Martin G Tolsgaard
    Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, Copenhagen, Denmark. martintolsgaard@gmail.com.
  • Sten Rasmussen
    Department of Urology, Aalborg University Hospital, Aalborg, Denmark.