The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis
ML based on medical imaging demonstrates high diagnosis accuracy for OP, particularly DL models using x-ray and CT modalities. However, this study included only a limited number of original studies using MRI-based ML, and there remains a lack of adequate external validation across studies, which poses interpretative limitations. Future research should aim to develop artificial intelligence tools with broader applicability and enhanced diagnostic precision.
Authors
- Yu Liu (ORCID: https://orcid.org/0009-0005-5475-2632)
- Rui Zhao
- Yanping Lin
- Jiachun Huang
- Zhijie Yang
- Hongxing Huang
- Lei Wan
- Haolin Yang
- Yangbo Li
Institutions
- Guangzhou University of Chinese Medicine (CN)
- The Third Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-01-16
- DOI
- https://doi.org/10.2196/75965
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00