Next-generation machine learning model to measure the Norberg angle on canine hip radiographs increases accuracy and time to completion
The assistance of the NA-AI model reduces the time taken for radiographic hip analysis for clinical applications. However, it is less reliable in cases involving severe osteoarthritic change, requiring manual review for such cases.
Authors
- Yuxiao Yao (ORCID: https://orcid.org/0000-0001-8600-7518)
- Ian Porter (ORCID: https://orcid.org/0000-0002-5501-4683)
- Rory J. Todhunter (ORCID: https://orcid.org/0000-0002-3116-1697)
- G C Hansen (ORCID: https://orcid.org/0009-0004-2465-8082)
- Youshan Zhang (ORCID: https://orcid.org/0000-0002-0074-0979)
- Anthony J. Fischetti
- Anthony Gonzalez
Institutions
- Yeshiva University (US)
- Cornell University (US)
- The Schwarzman Animal Medical Center (US)
Publication Details
- Journal
- American Journal of Veterinary Research
- Published
- 2025-06-16
- DOI
- https://doi.org/10.2460/ajvr.25.02.0044
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00