Fundamentals of Arthroscopic Surgery Training and beyond: a reinforcement learning exploration and benchmark.
Ivan OvinnikovAmi BeuretFlavia CavaliereJoachim M BuhmannPublished 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.