معرفی
Rinne Peters is a researcher actively contributing to the fields of orthopedic surgery and arthroplasty, with a focus on total hip and ankle arthroplasty outcomes, revision risk prediction, and surgical technique analysis. Their work leverages large-scale data from the Dutch Arthroplasty Register and explores the intersection of clinical research and machine learning applications.
Research interests include:
- Revision risk factors in total hip and ankle arthroplasty
- Impact of implant design and surgical approaches
- Patient-reported outcome measures (PROMs)
- Machine learning applications in competing risk modeling
- Register-based clinical epidemiology
Recent publications highlight their contributions to understanding revision rates in fixed-bearing vs. mobile-bearing ankle implants, femoral neck design efficacy, and the comparative performance of machine learning in outcome prediction. Collaborations include prominent Dutch orthopedic surgeons and researchers, with affiliations to institutions involved in the Dutch Arthroplasty Register.
