White paper
Alternatives to radiostereometric analysis (RSA)
How can AI image analysis methods can bridge efficiency, precision, and accessibility in hip research?
This white paper will help you understand how innovative AI-driven image analysis methods offer comparable accuracy and precision to radiostereometric analysis (RSA)—all while being less invasive, more cost-effective, and widely accessible.
Inside, you'll discover:
✅ How to accurately assess implant positioning in registries, routine clinical practice, or retrospective studies without RSA imaging.
✅ Alternative computational methods that deliver precise evaluations of implant positioning and wear in THA.
✅ A detailed comparison of these AI-powered technologies with RSA in terms of accuracy, precision, and clinical applicability.
Who should read this white paper:
- Medical device manufacturers who are looking to integrate advanced AI-driven imaging techniques to enhance implant evaluation and improve product performance.
- Clinical affairs professionals who need to leverage innovative computational methods for more precise data analysis and improved clinical study outcomes.
- Physicians who are interested in AI-based solutions to enhance implant placement assessments without relying on traditional RSA methods.