Clinical Study Of Artificial Intelligence Preoperative Planning Technology In TH

Total Hip Arthroplasty(THA)is a surgical procedure commonly used to treat end-stage hip diseases.It involves implanting an artificial joint to replace a necrotic or deformed joint,aiming to alleviate pain and restore mobility.Accurate pre-operative planning plays a vital role in improving surgical success by analyzing the complexity of the operation and optimizing the operation time.While X-ray-based two-dimensional preoperative planning is the prevailing method in China,advancements in information technology have prompted some experts and scholars both domestically and internationally to explore three-dimensional planning techniques.However,existing planning methods have their own strengths and weaknesses.This study focuses on the development of an artificial intelligence-based preoperative planning method and evaluates its clinical utility by comparing it with traditional planning methods.Firstly,it analyzes the development techniques and functions of the AI preoperative planning system.Secondly,it examines the effectiveness of the AI planning approach,including the accuracy of acetabular and femoral side planning,clinical outcomes,as well as the reliability through a comparison of different planning approaches within the same patient,and the reproducibility by evaluating the accuracy of the AI planning approach performed by different practitioners.Lastly,it investigates the clinical effectiveness of total hip arthroplasty(THA)after planning with this method and digital templates in a large sample of patients with different conditions.Analysis of the experimental results showed that the AI planning approach is capable of 3D reconstruction,pelvic correction,prosthetic implantation,individualised fine tuning and also provides a tri-axial view.The results of Experiment 1 found that the AI preoperative planning approach had high planning accuracy and good clinical outcomes,and that additional experiments validated the reliability of the approach.The results of Experiment 2 found that all three groups of physicians were able to achieve a planning accuracy of around 90% using the AI planning approach,confirming the reliability of the system itself.