| CPC A61B 90/36 (2016.02) [A61B 34/10 (2016.02); A61B 34/20 (2016.02); A61B 34/25 (2016.02); A61B 2034/105 (2016.02); A61B 2034/2065 (2016.02); A61B 2034/252 (2016.02); A61B 2090/365 (2016.02); A61B 2090/366 (2016.02); A61B 2090/368 (2016.02); G06T 2207/30008 (2013.01)] | 20 Claims |

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1. A method for registration of arthroscopic video images to preoperative models, the method implemented by one or more surgical computing devices and comprising:
applying a machine learning model to diagnostic video data captured via an arthroscope to identify an anatomical structure represented in the diagnostic video data;
registering one of a plurality of anatomical structures in a three-dimensional (3D) anatomical model to the anatomical structure represented in the diagnostic video data, wherein the 3D anatomical model is generated from preoperative image data;
tracking the anatomical structure intraoperatively based on the registration;
generating a simulated projected view of the registered one of the plurality of anatomical structures from the 3D anatomical model based on a determined orientation of the arthroscope during capture by the arthroscope of intraoperative video data; and
outputting the simulated projected view scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.
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