Comparison of an AI-driven planning tool and manual radiographic measurements in total knee arthroplasty
AI-assisted tools like the Autoplan tool in mediCAD offer substantial time savings and demonstrate reliable measurements for certain linear parameters in preoperative TKA planning. However, the observed low reliability in some measurements, even amongst experienced human raters, suggests inherent challenges in the radiographic assessment of angular parameters. Further development is needed to improve the accuracy of automated angular measurements, and to address the inherent variability in their assessment.
Authors
- M. Heller
- Markus Scharf
- Tobias Renkawitz
- Stefano Pagano (ORCID: https://orcid.org/0009-0006-6721-7564)
- Marie Farina Schuster
- Günther Maderbacher
- Lina Forchhammer
Institutions
- Asklepios Kliniken Bad Abbach (DE)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.04.009
- Citations
- 1
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01