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

Journal: BMC medical imaging
PMID: 40075328

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.

Authors

  • Ali Tarighatnia
    Department of Medical Physics, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
  • Masoud Amanzadeh
    Department of Health Information Management, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran. M.amanzadeh@arums.ac.ir.
  • Mahnaz Hamedan
    Ardabil University of Medical Sciences, Ardabil, Iran.
  • Alireza Mohammadnia
    Department of Health Information Management, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
  • Nader D Nader
    Department of Anesthesiology, University at Buffalo, Buffalo, NY 14214.

Keywords

External Resources

Popular Topics
Recent Journals