Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative
Our two-stage prediction model provided improved results based on performance metrics, suggesting potential for application in clinical settings.
Authors
- Jussi Tohka (ORCID: https://orcid.org/0000-0002-1048-5860)
- Mikael J. Turunen (ORCID: https://orcid.org/0000-0003-1093-1178)
- Mika E. Mononen (ORCID: https://orcid.org/0000-0002-1364-8928)
- Mimmi K. Liukkonen (ORCID: https://orcid.org/0000-0002-4634-6803)
- Teemu A. T. Nurmirinta (ORCID: https://orcid.org/0009-0000-3073-1419)
Institutions
- University of Eastern Finland (FI)
- Kuopio University Hospital (FI)
Publication Details
- Journal
- Annals of Biomedical Engineering
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1007/s10439-025-03740-z
- Citations
- 2
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 3.34
Funders
- U.S. Department of Health and Human Services
- Pfizer
- GlaxoSmithKline
- Itä-Suomen Yliopisto
- Novartis Pharmaceuticals Corporation
- Academy of Finland
- Suomen Kulttuurirahasto
- National Institutes of Health
- Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta