Method and system for modeling predictive outcomes of arthroplasty surgical procedures

US11490966B2 · kind B2 · utility

Assignee

• Exactech, Inc. · US

Inventors

• Christopher P. Roche · Gainesville, US
• Vikas Kumar · Gainesville, US
• Steven OVERMAN · Gainesville, US
• Ankur Teredesai · Bellevue, US
• Howard D. Routman · North Palm Beach, US
• Ryan SIMOVITCH · Gainesville, US
• Pierre Flurin · Le Bouscat, FR
• Thomas Wright · Gainesville, US
• Joseph Zuckerman · New York, US

Key dates

• Filing date: Apr 16, 2021
• Grant date: Nov 8, 2022
• Expiry date: Apr 16, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics. The second predicted post-operative joint performance data output is updated to include an arthroplasty surgery recommendation, in response to the user varying the at least one arthroplasty surgical parameter, before the arthroplasty surgery, during the arthroplasty surgery, or both.