Ortho Ai LLC

Intellijoint Surgical Inc.

Jonathan Matthew Vigdorchik

David Jacob Mayman

Seth Jerabek

Andre Novomir Hladio

Joseph Arthur Schipper

Samantha Lynn McCabe

A system and method for determining patient-specific anatomical parameters to improve surgical outcomes. Some embodiments include processes for predicting the parameters of occluded anatomy. Some embodiment includes processes for more accurately identifying a center point of a ball and socket joint, such as a center point or center of rotation of a femoral head. Some embodiments include processes for identify a patient-specific spinal curvature, including more precisely determining patient specific spinal inflection points. The various steps can be performed automatically through trained computing devices and graphically presented to a surgeon for review and any necessary modifications.

System and method for patient-specific anatomical analyses

A system and method configured to better identify patient-specific anatomical landmarks, measure anatomical parameters and features, and predict the patient's need for surgery within a predetermined time period. In some embodiments, the system and method is configured to predict the likelihood or risk that a patient will require total hip arthroplasty. In some embodiments, the present invention includes machine learning technology Some embodiments of the present invention include a first ML machine configured to received medical images as inputs and identify anatomical landmarks as outputs; a measurement module to measure joint space width, hip dysplasia angles, and/or leg length differential; and a second ML machine configured to receive the anatomical measurements and patient demographic data as inputs and produce a risk or likelihood that the patient will require surgery within a certain time frame.

System and method for predicting a need for arthroplasty

System and method for predicting a need for total hip arthroplasty

Planning tools for surgery, particularly for THA, are provided. Images of musculoskeletal structure of a patient (e.g. associated with respective planes and in a same or different functional position) may be displayed together and via co-registration and spatial transformations, 3D implants or other objects may be rendered and overlaid in a same position correctly with respect to each image. The 3D implant may be fit (e.g. via handles or automatically using image processing) to an existing implant in the patient and moved to other positions, for example, to measure the existing position or plan for an initial or new position. Measures may be represented with respect to various planes associated with the respective image and/or with respect to an existing implant.

System and method for preoperative planning for total hip arthroplasty

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Brooklyn, NY, United States of America

Jonathan Matthew Vigdorchik