Summary
The integration of AI-driven real-time 3D visualization in arthroscopy holds immense potential to revolutionize minimally invasive orthopaedic surgery.
Abstract
Background
The integration of Artificial Intelligence (AI) and Mixed Reality (MR) in arthroscopy represents a transformative advancement in orthopaedic surgery. Traditional arthroscopic techniques are often hindered by a steep learning curve, limited visualization of extra-articular structures, and restricted spatial awareness, potentially compromising surgical precision and patient outcomes.
Methods
To address these challenges, a 3D modeling solution has been developed to enhance arthroscopic visualization through real-time AI-driven anatomical mapping. Using MRI-based AI algorithms, the system achieves an 84% accuracy rate in identifying critical landmarks, such as the ACL femoral insertion site in patients with ligament ruptures. The MR headset seamlessly integrates these enhanced visualizations into the surgical workflow, offering real-time 3D model overlays that improve intraoperative navigation and precision.
Results
The system provides high-performance visualization with minimal latency, allowing surgeons to interact with dynamic 3D models during arthroscopy. This innovation enhances procedural accuracy, optimizes surgical maneuvers, and improves overall efficiency and safety.
Conclusion
The convergence of AI and MR in arthroscopy heralds a new era of precision surgery addressing existing limitations. Future developments will focus on scalability, expanding these capabilities across a broader range of orthopaedic procedures.