Automatic determination of the resection plane for shoulder arthroplasty in arthritic humeri: a deep learning model
Our deep learning model achieves state-of-the-art accuracy for predicting the location of the resection plane. The model maintains robust performance in arthritic shoulders, enabling further automation of shoulder arthroplasty planning in more complex arthritic cases.
Authors
- Gregory W. Spangenberg (ORCID: https://orcid.org/0000-0002-4915-8699)
- Kenneth J. Faber (ORCID: https://orcid.org/0000-0003-1025-6600)
- G. Daniel G. Langohr (ORCID: https://orcid.org/0000-0001-8164-0605)
- Ahmed Ayman Habis (ORCID: https://orcid.org/0000-0003-2115-3084)
- Fares Uddin
Institutions
- Western University (CA)
- Hand and Upper Limb Clinic (CA)
Publication Details
- Journal
- Journal of Shoulder and Elbow Surgery
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1016/j.jse.2025.03.010
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00