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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3660) Clinical Informatics (2264) Clinical Information and Decision Making (3698) Machine Learning (3167) Artificial Intelligence (4758) Computer-Aided Diagnosis (419) Medical imaging (192)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75965, first published .
Elderly person's hands holding a painful knee, suggesting joint pain or arthritis.

The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis

The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis

Authors of this article:

Rui Zhao1 Author Orcid Image ;   Haolin Yang1 Author Orcid Image ;   Yangbo Li1 Author Orcid Image ;   Xiaoyun Li1 Author Orcid Image ;   Zhijie Yang1 Author Orcid Image ;   Yanping Lin2 Author Orcid Image ;   Jiachun Huang2 Author Orcid Image ;   Lei Wan2 Author Orcid Image ;   Hongxing Huang2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Zhang Z, He Y, Mo Z, Zhang P, Tian Z, Huang L. Artificial Intelligence for Osteoporosis Diagnosis, Risk Prediction and Therapy: Current Advances, Clinical Challenges, and Future Perspectives. Clinical Interventions in Aging 2026;Volume 21:1 View
  2. Sinnathakorn N, Fahpinyo C, Cholamjiak W, Suantai S. Opportunistic Osteoporosis Screening from Routine Knee Radiographs Using a Multi-Stage CNN Framework with External Validation. Journal of Clinical Medicine 2026;15(13):5222 View