COMPUTERIZED PREDICTION OF HUMERAL PROSTHESIS FOR SHOULDER SURGERY

    公开(公告)号:US20230085093A1

    公开(公告)日:2023-03-16

    申请号:US17799172

    申请日:2021-02-18

    Abstract: A surgical assistance system obtains patient-specific values of a plurality of physical characteristics of a humeral bone of a patient. The surgical assistance system predicts, based on the patient-specific values, a humeral prosthesis (202) for the patient from among a plurality of humeral prostheses, wherein the predicted humeral prosthesis has a filling ratio less than a remodeling threshold for the patient. The filling ratio of the humeral prosthesis is a ratio of (i) a radial distance from a lengthwise central axis of a stem (206) of the humeral prosthesis to an outer surface of the stem, to (ii) a radial distance from the lengthwise central axis of the stem to an inner surface of the intramedullary canal (208) of a humerus of the patient. The remodeling threshold for the patient is a filling ratio above which the humeral prosthesis would cause remodeling in the patient.

    USE OF BONY LANDMARKS IN COMPUTERIZED ORTHOPEDIC SURGICAL PLANNING

    公开(公告)号:US20220387110A1

    公开(公告)日:2022-12-08

    申请号:US17770887

    申请日:2020-10-20

    Inventor: Jean Chaoui

    Abstract: A computing system generates, based on medical imaging data of bones of a joint of a patient, bony landmark data that characterizes relationships between two or more landmarks on one or more of the bones of the joint of the patient. Additionally, the computing system applies a classifier algorithm that has been trained using training data to select a class associated with the patient from among a plurality of classes. The classifier algorithm takes the bony landmark data of the patient as input.

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