Artificial intelligence intra-operative surgical guidance system and method of use

An artificial intelligence assisted total hip arthroplasty comprising:

• providing a computing platform comprised of an at least one image processing algorithm for the classification of a plurality of intra-operative medical images, the computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models comprises a neural network model, wherein the one or more automated artificial intelligence models are trained on data from a data layer to identify a plurality of anatomical structures;
• receiving a preoperative radiographic image of a subject;
• detecting the plurality of anatomical structures in the preoperative radiographic image of the subject;
• generating a subject specific functional pelvis grid from the plurality of anatomical structures detected in the preoperative radiographic image of the subject,
• receiving an intraoperative anteroposterior pelvis radiographic image of the subject;
• identifying an at least one anatomical landmark in the intraoperative anteroposterior pelvis radiographic image, whereby the computing platform performs the step of:
• selecting a situation specific grid selected from the group consisting of:
• functional pelvis grid, spinopelvic grid, level pelvis grid, reference grid, neck cut grid, reamer depth grid, center of rotation grid, cup grid, leg length and offset grid, and femur abduction grid;
• and registering the selected grid to the anatomical landmark in the intraoperative anteroposterior pelvis radiographic image.