Preclinical validation of finite element models for predicting in vivo residual plate bending using continuous implant sensor data

This validated FE methodology, leveraging AO Fracture Monitor data, can be adapted for human use to tailor rehabilitation protocols immediately post-surgery and provide real-time feedback to patients and clinicians if loading exceeds safe thresholds. This approach could minimize implant failure, reduce revision surgeries, and enhance patient recovery.