Explainable opportunistic osteoporosis screening from chest X-rays: a retrospective comparison of foundation models
Our findings underscore the necessity of incorporating explainability as a key criterion when selecting deep learning models for opportunistic osteoporosis screening. Furthermore, the proposed framework can be readily extended to other medical tasks, fostering the development of more trustworthy and interpretable AI-assisted screening tools.
Authors
- Sangmin Kwak (ORCID: https://orcid.org/0000-0003-3953-9647)
- Hyeokjong Lee (ORCID: https://orcid.org/0009-0001-4547-0861)
- Jooyoung Chang (ORCID: https://orcid.org/0000-0002-8586-0645)
- Sang Min Park (ORCID: https://orcid.org/0000-0002-7498-4829)
- Jae-Won Kim (ORCID: https://orcid.org/0000-0001-7942-1286)
Institutions
- Seoul National University (KR)
- National University College (PR)
- Hyundai Engineering (South Korea) (KR)
Publication Details
- Journal
- Osteoporosis International
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1007/s00198-025-07727-3
- Citations
- 1
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Seoul National University
- Seoul National University Hospital