Intuitive Surgical Operations, Inc.

Aneeq Zia

Anthony Michael Jarc

Kiran Bhattacharyya

Linlin Zhou

Kristen Brown

Sue Kulason

Various of the disclosed embodiments are directed to computer-implemented systems and methods for recognizing surgical tasks from surgical data, In some embodiments an ensemble model configured to receive video data, kinematics data, and system event data from the surgical theater may be implemented. The ensemble model may implement modular streams for processing the data, facilitating predictions even when less than all the data types are available. In some embodiments, smoothing operations may help facilitate more accurate prediction results, Various of the embodiments may be employed in real-time during surgery, providing predictions at per-second intervals.

Systems and methods for surgical data classification

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.

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Atlanta, GA, United States of America

Aneeq Zia