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Clinical implementation of AI for vertebral fracture detection in CT aligned with fracture liaison services: high prevalence of undiagnosed vertebral fractures

Crossref DOI link: https://doi.org/10.1007/s00198-026-07907-9

Published Online: 2026-03-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Woisetschläger, Mischa https://orcid.org/0000-0003-0066-4985
Baldimtsi, Evangelia https://orcid.org/0000-0002-4433-1376
Lindblom, Maria

Davidson, Thomas

Bjerner, Tomas https://orcid.org/0000-0001-9548-4842
Spångeus, Anna https://orcid.org/0000-0002-7130-9158
Funding

Funding for this research was provided by:

VINNOVA (AIDA/Medtech4Health (Vinnova))

VINNOVA (Medtech4Health (Vinnova))

ALF Grants, Region Östergötland

Linköping medical society

Linköping University
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Text and Data Mining valid from 2026-03-10

Version of Record valid from 2026-03-10
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Article History

Received: 2 November 2025

Accepted: 12 February 2026

First Online: 10 March 2026

Declarations

:

: Ethical approval was obtained from the Swedish Ethical Review Authority (Approval No. 2024–05075-01). The study complied with institutional and national research ethics standards and adhered to the principles of the Declaration of Helsinki and its amendments. The requirement for informed consent was waived by the Swedish Ethical Review Authority.

: Author AS has received honoraria for lectures from UCB, Amgen, Sandoz, and AstraZeneca and has served on an advisory board for UCB. Authors MW, EB, ML, TD and TB declare no conflicts of interest related to this work.

: Not applicable.

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