Road to automating robotic suturing skills assessment: Battling mislabeling of the ground truth.

Objective: To automate surgeon skills evaluation using robotic instrument kinematic data. Additionally, to implement an unsupervised mislabeling detection algorithm to identify potentially mislabeled samples that can be removed to improve model performance.

Methods: Video recordings and instrument kinematic data were derived from suturing exercises completed on the Mimic FlexVR robotic simulator.