US 12,229,958 B2
System and method for predicting a need for arthroplasty
Jonathan Vigdorchik, Brooklyn, NY (US); Seth Jerabek, Pelham, NY (US); and David Mayman, New York, NY (US)
Assigned to Ortho AI LLC, New York, NY (US)
Filed by Ortho AI LLC, New York, NY (US)
Filed on Feb. 6, 2024, as Appl. No. 18/434,005.
Application 18/434,005 is a continuation of application No. 18/135,865, filed on Apr. 18, 2023, granted, now 11,967,077.
Application 18/135,865 is a continuation of application No. 18/103,621, filed on Jan. 31, 2023, granted, now 11,669,966, issued on Jun. 6, 2023.
Prior Publication US 2024/0257343 A1, Aug. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 30/40 (2018.01); G06T 2207/30008 (2013.01); G06T 2207/30204 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining a risk of a patient needing arthroplasty, comprising:
acquiring demographic data for the patient;
acquiring a medical image of a patient's anatomy, wherein the medical image depicts at least a joint of the patient;
inputting the medical image into a first machine learning (ML) model, the first ML model configured to identify a plurality of anatomical landmarks;
acquiring quantitative values for a plurality of anatomic measurements; and
inputting the demographic data and the quantitative values for the plurality of anatomic measurements into a second ML machine, wherein the second ML machine is configured to output a likelihood of the patient needing arthroplasty within a time frame based on the inputted demographic data and inputted quantitative values for the plurality of anatomic measurements.