Pediatric age estimation from radiographs of the knee using deep learning.

ABSTRACT:

Objectives

Age estimation, especially in pediatric patients, is regularly used in different contexts ranging from forensic over medicolegal to clinical applications. A deep neural network has been developed to automatically estimate chronological age from knee radiographs in pediatric patients.

Methods

In this retrospective study, 3816 radiographs of the knee from pediatric patients from a German population (acquired between January 2008 and December 2018) were collected to train a neural network. The network was trained to predict chronological age from the knee radiographs and was evaluated on an independent validation cohort of 423 radiographs (acquired between January 2019 and December 2020) and on an external validation cohort of 197 radiographs.

Results

The mode

SUBMITTER: Demircioglu A 

PROVIDER: S-EPMC9213267 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature