Subject‐Specific Musculoskeletal Modeling: The Future of Predicting and Preventing Proximal Junctional Failure in Adult Spinal Deformity
Subject-specific musculoskeletal modeling represents a critical opportunity to address the limitations of existing predictive systems and advance the field of ASD management.
Authors
- Thomas R. Oxland (ORCID: https://orcid.org/0000-0003-3556-6525)
- Dennis Anderson (ORCID: https://orcid.org/0000-0002-5171-7445)
- Dominika Ignasiak (ORCID: https://orcid.org/0000-0001-8557-0245)
- Nima Ashjaee
- László Kiss (ORCID: https://orcid.org/0000-0001-8255-3052)
- Alexa Semonche (ORCID: https://orcid.org/0000-0001-8076-3937)
- Sidney Fels (ORCID: https://orcid.org/0000-0001-9279-9021)
- Anthony L. Mikula (ORCID: https://orcid.org/0000-0002-5143-3733)
- Stephen H.M. Brown (ORCID: https://orcid.org/0000-0001-7380-6265)
- John Street (ORCID: https://orcid.org/0000-0002-4223-4003)
- Samuel R. Ward
- Christopher P. Ames
Institutions
- Beth Israel Deaconess Medical Center (US)
- University of British Columbia (CA)
- University of San Diego (US)
- University of California, San Francisco (US)
- ETH Zurich (CH)
- University of California San Diego (US)
- Institute for Biomedical Engineering (CH)
- National Center for Spinal Disorders (HU)
- International Collaboration On Repair Discoveries (CA)
- University of Guelph (CA)
Publication Details
- Journal
- JOR Spine
- Published
- 2025-11-30
- DOI
- https://doi.org/10.1002/jsp2.70142
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00