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Fundamentals of Arthroscopic Surgery Training and beyond: a reinforcement learning exploration and benchmark.

Ivan OvinnikovAmi BeuretFlavia CavaliereJoachim M Buhmann
Published in: International journal of computer assisted radiology and surgery (2024)
The presented benchmark enables the exploration of a novel reinforcement learning-based approach to skill performance assessment and in-procedure assistance for simulated surgical training scenarios. The evaluation protocol based on the learned reward model demonstrates potential for evaluating the performance of surgical trainees in simulation.
Keyphrases
  • virtual reality
  • minimally invasive
  • climate change
  • randomized controlled trial
  • coronary artery bypass
  • primary care
  • general practice
  • surgical site infection
  • risk assessment
  • atrial fibrillation