An AI-based pipeline for osteoporosis/osteopenia prediction using hip radiographs
The obtained results demonstrate the potential of the proposed AI-based pipeline for prediction of osteoporosis/osteopenia using hip radiographs. This study suggests that a tool based on the proposed methods could support DXA triage, incidental osteoporosis detection, and clinical decision-making in settings with limited access to bone densitometry.
Authors
- Carlos Suevos Ballesteros
- David Fernández Llorca (ORCID: https://orcid.org/0000-0003-2433-7110)
- Javier Soto (ORCID: https://orcid.org/0000-0002-0858-1394)
- M. del Prado Orduña Diez
- José Acosta Batlle (ORCID: https://orcid.org/0000-0003-4442-3681)
- Mónica Vázquez Díaz (ORCID: https://orcid.org/0000-0002-4548-6089)
- David Coronado-Gutiérrez (ORCID: https://orcid.org/0000-0003-1607-5130)
- Carlos López (ORCID: https://orcid.org/0000-0003-1248-3065)
- Javier Sánchez
- Jaime Moujir
Institutions
- Instituto Cajal (ES)
- SOM Biotech (Spain) (ES)
- Instituto Ramón y Cajal de Investigación Sanitaria (ES)
- Hospital Universitario Ramón y Cajal (ES)
Publication Details
- Journal
- Skeletal Radiology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1007/s00256-025-05033-x
- Citations
- 1
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01