Abstract: The invention provides systems and methods for improved simulation of surgical procedures, using models of anatomical organs. The models comprise models of internal components present in the anatomical organ. The models of the internal components are registered to the position which the internal component occupies in the anatomical organ, and in some embodiments the models of the anatomical organ can lose simulated physiological fluids during simulated surgery.

Abstract: The invention provides systems and methods for improved simulation of surgical procedures, using models of anatomical organs. The models comprise models of internal components present in the anatomical organ. The models of the internal components are registered to the position which the internal component occupies in the anatomical organ, and in some embodiments the models of the anatomical organ can lose simulated physiological fluids during simulated surgery.

Abstract: The quality of surgeries in captured videos is modeled in a learning network. For this task, a dataset of surgical video is given with a corresponding set of scores that are labeled by reviewers, to learn a model for quality assessment of surgical procedures. A learned model is then used to automatically assess quality of a surgical procedure, which omits the need for professional experts to manually inspect such videos. The quality assessment of surgical procedures can be performed off-line or in real-time as the surgical procedure is being performed. Surgical actions in surgical procedures are also localized in space and time to provide a feedback to the surgeon as to which action can be improved.