Real-time surgical tool presence/absence detection in surgical videos

    公开(公告)号:US12207861B2

    公开(公告)日:2025-01-28

    申请号:US17566116

    申请日:2021-12-30

    Abstract: Embodiments described herein provide various techniques and systems for building machine-learning surgical tool presence/absence detection models for processing surgical videos and predicting whether a surgical tool is present or absent in each video frame of a surgical video. In one aspect, a process for ensuring patient safety during a laparoscopic or robotic surgery involving an energy tool is disclosed. The process can begin receiving a real-time control signal indicating an operating state of an energy tool during the surgery. Next, the process receives real-time endoscope video images of the surgery. The process simultaneously applies a machine-learning surgical tool presence/absence detection model to the real-time endoscope video images to generate real-time decisions on a location of the energy tool in the real-time endoscope video images. The process then checks the real-time control signal against the real-time decisions to identify an unsafe event and takes a proper action when an unsafe event is identified.

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