REAL-TIME SURGICAL TOOL PRESENCE/ABSENCE DETECTION IN SURGICAL VIDEOS

Abstract: in one aspect, a process for improving patient safety during a laparoscopic or robotic surgery involving an energy tool is disclosed. a real-time control signal indicating an operating state of an energy tool during the surgery is being received, along with 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. other aspects are also described and claimed.

Inventor(s): Meysam Torabi, Varun Kejriwal Goel, Danyal Fer, Jocelyn Barker, Amer Ghanem, Richard W. Timm

CPC Classification: A61B18/1233 (by passing a current through the tissue to be heated, e.g. high-frequency current)

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