Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm.

ABSTRACT:

Backgruound

Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data.

Methods

This study included 1,595 participants aged 50 to 75 years with at least two lumbosacral radiographs without baseline fractures from 2010 to 2015 at Seoul National University Hospital. Positive and negative cases were defined according to whether vertebral fractures developed during follow-up. The cases were divided into training (n=1,416) and test (n=179) sets. A convolutional neural network (CNN)-based prediction algorithm, DeepSurv, was trained with images and baseline clinical information (age, sex, body mass index, glucocorticoid use, and secondary osteoporosis). The con

SUBMITTER: Kong SH 

PROVIDER: S-EPMC9449110 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature