Surgical Workflow Recognition

Surgical workflow recognition uses computer vision to automatically identify surgical steps and instrument usage from video recordings, aiming to improve surgical training, intraoperative assistance, and documentation. Current research heavily utilizes deep learning, particularly incorporating spatio-temporal models and graph-based representations to capture the complex relationships between surgical actions and instruments, often leveraging multi-modal data (video, kinematics, segmentation) to enhance accuracy. This technology holds significant promise for advancing surgical techniques and improving patient care by providing real-time feedback and objective performance metrics.