Automated arthoplasty planning with maching learning

A surgical planning system for planning a surgery based on experience of a historical user, the system comprising:

• a computer comprising a processor configured to execute planning software, the planning software operative to:
• receive a bone image;
• receive a selection of a planning model corresponding to experience of a first historical user, the planning model based on recognized patterns in a collection of planned cases of the first historical user;
• analyze the bone image to determine a set of characteristics of the bone image;
• compare the set of characteristics of the bone image to bone characteristics of the collection of planned cases;
• and
• generate a surgical plan comprising position and orientation (POSE) data for a planned POSE of an implant with respect to a bone based on the set of characteristics of the bone image and the recognized patterns in the planning model.

A computerized method for positioning an implant image relative to a bone image, comprising:

• providing a first planning model and a second planning model, wherein the first planning model is generated with machine learning using first historical planning data from a first historical user and the second planning model is generated with machine learning using second historical planning data from a second historical user;
• receiving a selection of the first planning model or the second planning model;
• and
• executing the selected first planning model or second planning model with an input comprising a bone image to automatically define implant positioning data with respect to the bone image.