Abstract: Various of the disclosed embodiments relate to computer systems and computer-implemented methods for measuring and monitoring surgical performance, For example, the system may receive raw data acquired from the surgical theater, generate and select features from the data amenable to analysis, and then train a machine learning classifier using the selected features to facilitate subsequent assessment of other surgeons' performances. Generation and selection of the features may itself involve application of a machine learning classifier in some embodiments. While some embodiments contemplate raw data acquired from surgical robotic systems, some embodiments facilitate assessments upon data acquired from non-robotic surgical theaters.