DETECTION OF SURGICAL STATES, MOTION PROFILES, AND INSTRUMENTS

An aspect includes a computer-implemented method that accesses input data including spatial data and/or sensor data temporally associated with a video stream of a surgical procedure. One or more machine-learning models predict a state of the surgical procedure based on the input data. The one or mor...

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Bibliographische Detailangaben
Hauptverfasser: GRAMMATIKOPOULOU, Maria, ROBU, Maria Ruxandra, CHOW, Andre, LUENGO MUNTION, Imanol, GIATAGANAS, Petros, STOYANOV, Danail V
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:An aspect includes a computer-implemented method that accesses input data including spatial data and/or sensor data temporally associated with a video stream of a surgical procedure. One or more machine-learning models predict a state of the surgical procedure based on the input data. The one or more machine-learning models detect one or more surgical instruments at least partially depicted in the video stream based on the input data. A state indicator and one or more surgical instrument indicators temporally correlated with the video stream are output. A first surgical instrument of the one or more surgical instruments is identified in the video stream, and a motion profile of the first surgical instrument is determined.