Conference item icon

Conference item : Abstract

An artificial intelligence algorithm to improve diagnosis of vertebral fractures embedded in fracture liaison services can reduce fractures and reduce costs

Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Publisher copy:
10.1007/s40520-025-03119-z

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-4723-5128
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0000-0001-9922-4810
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0000-0001-7985-0048


More from this funder
Funder identifier:
https://ror.org/015ah0c92
Grant:
AI_AWARD02169


Publisher:
Springer
Journal:
Aging Clinical and Experimental Research More from this journal
Volume:
37
Issue:
S1
Pages:
56-57
Article number:
279
Publication date:
2025-09-23
Acceptance date:
2025-02-14
Event title:
25th World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (WCO-IOF-ESCEO 2025)
Event location:
Rome, Italy
Event website:
https://www.wco-iof-esceo.org/
Event start date:
2025-04-10
Event end date:
2025-04-13
DOI:
EISSN:
1720-8319
ISSN:
1594-0667


Language:
English
Subtype:
Abstract
Pubs id:
2090528
Local pid:
pubs:2090528
Deposit date:
2025-02-19
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP