Deep learning approach to predict pain progression in knee osteoarthritis.

ABSTRACT:

Objective

To develop and evaluate deep learning (DL) risk assessment models for predicting pain progression in subjects with or at risk of knee osteoarthritis (OA).

Materials and methods

The incidence and progression cohorts of the Osteoarthritis Initiative, a multi-center longitudinal study involving 9348 knees in 4674 subjects with or at risk of knee OA that began in 2004 and is ongoing, were used to conduct this retrospective analysis. A subset of knees without and with pain progression (defined as a 9-point or greater increase in pain score between baseline and two or more follow-up time points over the first 48 months) was randomly stratified into training (4200 knees with a mean age of 61.0 years and 60% female) and hold-out testing (500 knees with a mean age of 60.8 y

SUBMITTER: Guan B 

PROVIDER: S-EPMC9232386 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature