Strategy Simulation Patience compatibility
Preoperatively, artificial intelligence tools assist the surgeon In
Selection of a suitable patient for MATRIX arthroplasty.
The correct selection of a patient is our top priority for a successful knee or hip arthroplasty intervention.
Internationally, statistically, over 33% of patients may not have the appropriate indications or meet the necessary conditions for this specific intervention, resulting in unsatisfactory outcomes.
In our Orthopaedic Dept., we use specific algorithms and best practice, based on American Association of Orthopedic Surgeons (AAOS) evidenced base to standardize patient selection based on medical history, severity of symptoms, degree of arthritis, and any previous failures or treatment modalities.
The predictive algorithm model requires effective communication between patients and surgeons and the development of a trusting relationship that promotes the integration of data such as patient preferences and needs. This is in conjunction with the analysis of the therapeutic protocol, the likelihood of complications, risks, benefits, and possible alternative solutions before making informed decisions.
The decision-making process is based on validated predictive factors, such as demographic data or preoperative outcome measures reported by the patient.
Preoperative planning and modeling of the intervention.
Preoperative planning and modeling involve three-dimensional visualization of anatomical variations, size of axial deformity, dimensions and localization of osteophytes, demonstrating postoperative alignment of the limb, the positioning and size of the implant, as well as the balance of soft tissues. Preoperatively, implant sizes can be predicted using specialized algorithms based on demographic data such as gender, height, weight, age, ethnicity/race, and shoe size.
Preoperative digital patient education.
Three-dimensional preoperative planning and modeling serve as the primary source of digital information for the patient. Wearing specially designed 'virtual reality' glasses, the patient is immersed in a virtual landscape and can observe anatomical details of their affected joint in three-dimensional space. This allows them to see the appropriate choice of implants and understand how their 'new' joint will function postoperatively.
Virtual surgery simulation.
Artificial intelligence-based virtual reality is currently the most valuable tool for teaching and surgical simulation, operating in a 360-degree viewing mode.0 as it provides access to all levels of knee and hip arthroplasty surgeries and beyond.
Surgeons can simultaneously assess decisions regarding the implant, make the final selection, and complete the intervention and final implantation, monitoring the effectiveness of the procedure. This minimizes errors during the surgical process and the time of completion, utilizing minimal surgical equipment and tools. They can also receive feedback on key steps such as osteotomy planning, implant placement, sizing, assessment of virtual range of motion, and void balancing.
They can acquire procedural learning and surgical experience without direct supervision from another surgeon, as well as collect data at all stages of the educational process.
In reality, they can safely perform the surgical procedure in a virtual environment before even reaching the actual intervention process. They can identify potential errors and pinpoint surgical difficulties.