Value of 3D preoperative planning for primary total hip arthroplasty based on artificial intelligence technology

Abstract Background Accurate preoperative planning is an important step for accurate reconstruction in total hip arthroplasty (THA). Presently, completed using either a two-dimensional (2D) template or three-dimensional (3D) mimics software. With the development of artificial intelligence (AI) technology, AI HIP, software based on can quickly and automatically identify acetabular femur morphology, match optimal prosthesis size. However, accuracy feasibility its clinical application still needs to be further verified. The purposes this study were investigate time efficiency HIP primary THA, compared with 3D 2D digital template, analyze factors that influence HIP. Methods A prospective was conducted 53 consecutive patients (59 hips) undergoing THA cementless prostheses our department. All as well template. predicted component size actual implantation results determine accuracy. templating efficiency. Furthermore, potential influencing analyzed including sex, body mass index (BMI), dysplasia. Results predicting cup femoral stem 74.58% 71.19%, respectively, HIP; 71.19% ( P = 0.743) 76.27% 0.468), mimics; 40.68% < 0.001) 49.15% 0.021), templating. 3.91 ± 0.64 min, which equivalent templates (2.96 0.48 0.001), but shorter than (32.07 2.41 0.001). Acetabular dysplasia rather sex BMI, influential factor Compared developmental (DDH), non-DDH group better difference between two groups statistically insignificant 0.062). Conclusion showed excellent reliability THA. may affect