Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

ABSTRACT:

Background

Osteoporosis is a complex condition that drives research into its causes, diagnosis, treatment, and prevention, significantly affecting patients and healthcare providers in various aspects of life. Research is exploring orthopantomogram (OPG) radiography for osteoporosis screening instead of bone mineral density (BMD) assessments. Although this method uses various indicators, manual analysis can be challenging. Machine learning and deep learning techniques have been developed to address this. This systematic review and meta-analysis is the first to evaluate the accuracy of deep learning models in predicting osteoporosis from OPG radiographs, providing evidence for their performance and clinical use.

Methods

A literature search was conducted in MEDLINE, Scopus, and

SUBMITTER: Tarighatnia A 

PROVIDER: S-EPMC11905531 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature