Revolutionizing LCP Fixation - The Role of AI and Augmented Reality in Orthopedic Surgery

Abstract

Background
Advancements in Artificial Intelligence (AI) and Augmented Reality (AR) have introduced new possibilities in orthopedic trauma surgery, particularly for Locking Compression Plate (LCP) fixation of supracondylar femur fractures. Conventional fixation techniques rely heavily on fluoroscopy and surgeon expertise, often resulting in variable accuracy and increased radiation exposure.

Objective
To evaluate the clinical and surgical outcomes of AI- and AR-assisted LCP fixation compared to traditional fixation techniques in supracondylar femur fractures.

Methods
A prospective comparative study was conducted on 120 patients divided into two groups: traditional LCP fixation (n=60) and AI & AR-assisted LCP fixation (n=60). Primary parameters included surgical time, implant positioning accuracy, radiation exposure, complication rate, and functional outcome (Knee Society Score). Data were analyzed using independent t-tests and chi-square tests, with p<0.05 considered significant.

Results
The AI & AR-assisted group demonstrated significantly better outcomes, including reduced surgical time (65.25±8.3 vs. 88.45±10.2 min), improved implant accuracy (2.08±0.8 vs. 3.50±1.0 mm deviation), lower radiation exposure (40.27±10.1 vs. 76.38±15.4 sec), and fewer complications (7.62% vs. 13.87%). Functional recovery was superior in the AI & AR group, with a higher Knee Society Score (84.72±4.1 vs. 75.84±5.2).

Conclusion
AI-assisted planning and AR-guided navigation significantly enhance surgical precision, efficiency, and postoperative recovery in LCP fixation. Broader clinical validation and cost-effective integration are needed for widespread adoption in orthopedic practice.