Breaking the silence: AI’s contribution to detecting vertebral fractures in opportunistic CT scans in the elderly—a validation study
The results indicate that the AI algorithm exhibits high performance in a geriatric setting. If effectively integrated with a fracture liaison service, this could enhance VF detection considerable in the future.
Authors
- Christoph Götz
- Mischa Woisetschläger (ORCID: https://orcid.org/0000-0003-0066-4985)
- Anna Spångéus (ORCID: https://orcid.org/0000-0002-7130-9158)
- Christoph Salzlechner (ORCID: https://orcid.org/0000-0002-1124-513X)
- Maria Lindblom
- Tomas Bjerner (ORCID: https://orcid.org/0000-0001-9548-4842)
- Allan Hummer (ORCID: https://orcid.org/0000-0002-9819-0433)
Institutions
- Linköping University (SE)
- Lauder Business School (AT)
- Linköping University Hospital (SE)
Publication Details
- Journal
- Archives of Osteoporosis
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1007/s11657-025-01524-5
- Citations
- 7
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 12.05
Funders
- Linköpings Universitet