Comparison of traditional template measurements and artificial intelligence preoperative planning in total knee arthroplasty.

Background: The poor reliability of preoperative planning measured by traditional x-ray templates increases the difficulty of osteotomy and prosthesis implantation during an operation, which to some extent affects the surgical outcome of total knee arthroplasty and postoperative satisfaction of patients. Objective: To evaluate the accuracy and effectiveness of artificial intelligence (AI) preoperative planning in total knee arthroplasty (TKA). Methods: We prospectively selected 48 patients who underwent primary total knee arthroplasty for knee osteoarthritis in our Joint Surgery Department between March 2021 and May 2022. The test group included 24 patients who underwent three-dimensional preoperative planning using artificial intelligence (AI), and the control group consisted of 24 patients who underwent two-dimensional preoperative planning using traditional template measurement. The differences were not statistically significant when comparing the general information of the two groups, such as gender, age, BMI, affected side category, ASA classification, history of diabetes, history of stroke ( Results: All patients were followed for 6-8 months, and no postoperative complications or postoperative deaths occurred in either group. There was no statistically significant difference between the general data of patients in both groups ( Conclusion: Compared with traditional film planning, AI preoperative planning can improve the accuracy of intraoperative prosthesis implantation and the surgical outcome of TKA, which is worthy of further promotion and application in clinical practice.