US 11,887,718 B2
Predicting implant size in arthroplasty using demographic variables
Geoffrey Westrich, New York, NY (US); Jason Blevins, New York, NY (US); Yu-Fen Chiu, New York, NY (US); Stephen Lyman, New York, NY (US); and Daniel J. Westrich, New York, NY (US)
Assigned to NEW YORK SOCIETY FOR THE RELIEF OF THE RUPTURED AND CRIPPLED, MAINTAINING THE HOSPITAL FOR SPECIAL SURGERY, New York, NY (US)
Filed by New York Society for the Relief of the Ruptured and Crippled, maintaining the Hospital for Special Surgery, New York, NY (US)
Filed on Mar. 1, 2022, as Appl. No. 17/683,618.
Claims priority of provisional application 63/195,095, filed on May 31, 2021.
Claims priority of provisional application 63/194,450, filed on May 28, 2021.
Claims priority of provisional application 63/155,106, filed on Mar. 1, 2021.
Prior Publication US 2022/0277826 A1, Sep. 1, 2022
Int. Cl. G16H 20/40 (2018.01); A61B 34/10 (2016.01); A61B 34/00 (2016.01)
CPC G16H 20/40 (2018.01) [A61B 34/10 (2016.02); A61B 34/25 (2016.02); A61B 2034/102 (2016.02)] 20 Claims
OG exemplary drawing
 
1. A method for generating a prediction for at least one implant size for use in arthroplasty, the method comprising:
receiving, by at least one processor configured by executing instructions stored on processor readable media, demographic factors of a patient;
processing, by the at least one processor, the demographic factors of the patient to generate a plurality of implant size predictions, wherein the step of processing the demographic factors of the patient includes:
accessing, by the at least one processor, i) procedure information representing joint replacement procedures previously performed for a plurality of patients and ii) implant information representing types and sizes of implants from a plurality of manufacturers; and
determining, by the at least one processor, as a function of at least one statistical model and as a function of the accessed procedural information and the implant information, respective unadjusted probabilities of each of a plurality of implant size recommendations within a range of implant sizes;
providing, by the at least one processor in a graphical user interface operating on at least one user computing device, information representing the respective implant size recommendations and unadjusted probabilities; and
receiving, by the at least one processor, a selection of at least one of the respective implant size recommendations.