Patient-Specific Finite Element Analysis of Total Hip Arthroplasty: A Bayesian Calibration Framework
A hierarchical Bayesian framework for calibrating patient-specific FEA models of THA with quantified uncertainty bounds.
Peer-reviewed science
Research
Archives
A curated collection of peer-reviewed studies, technical whitepapers, and clinical trial results generated by OrthoCore Labs.
All publications
Peer-reviewed research spanning biomechanics, surgical AI, and implant materials science.
Inverse Kinematics and Optimal Control for Wearable Joint Monitoring in Post-TKA Rehabilitation
An optimal control framework fusing IMU telemetry with musculoskeletal models for continuous post-TKA monitoring.
Kinematic Analysis of Total Knee Arthroplasty during Gait
This study investigates the in-vivo kinematics of a novel knee design through high-frequency motion capture analysis.
Machine Learning Approaches to Fracture Detection
A deep learning model for automated fracture detection in X-ray images, achieving 98% accuracy in clinical trials.