Prospective cohort study reveals improved short-term function and implant accuracy with AI-assisted planning in knee arthroplasty, indicating potential benefits over conventional techniques.
Background Total knee arthroplasty (TKA) outcomes may be influenced by preoperative planning and accurate execution. This study compared an AI-assisted three-dimensional preoperative planning and patient-specific instrumentation (PSI) workflow with conventional planning and instrumentation for primary unilateral TKA. The AI-assisted workflow was a CT-based preoperative software platform for repeated virtual osteotomy, implant selection, component-position review, and virtual postoperative joint motion-state visualization; it was not robotic execution or a validated predictor of postoperative range of motion. Methods In this single-center prospective exploratory cohort, 22 patients with knee osteoarthritis undergoing primary unilateral TKA were non-randomly allocated to an AI-assisted planning/PSI group (n = 11) or a Conventional group (n = 11). Outcomes were assessed preoperatively and at 2 and 6 months postoperatively. Clinical, perioperative, radiographic, and gait outcomes were compared using standard between-group and repeated-measures analyses. P values were interpreted as nominal because of the small sample size and multiple comparisons. Results At 6 months, WOMAC scores were lower in the AI-assisted planning/PSI group than in the Conventional group [15.00 (14.00, 17.00) vs. 17.00 (15.00, 18.00); nominal P = 0.02]. KSS function scores were higher in the AI-assisted planning/PSI group at 2 and 6 months [80.00 (70.00, 90.00) vs. 55.00 (55.00, 60.00), and 80.00 (80.00, 90.00) vs. 70.00 (70.00, 70.00); both nominal P < 0.001]. Pain-related outcomes, HALP, drainage volume, and gait parameters showed directional between-group differences that were interpreted as exploratory and descriptive. Postoperative HKA deviation and HKA outlier rates were comparable, while coronal tibial component error was smaller in the AI-assisted planning/PSI group [0.4 (0.2, 0.7) vs. 0.9 (0.6, 1.1) degrees; nominal P = 0.018]. Conclusions In this exploratory cohort, AI-assisted planning with PSI was associated with selected short-term functional, perioperative, gait, and radiographic component-positioning differences, but not superior overall HKA alignment. Findings are preliminary and require confirmation in larger randomized or well-matched studies.
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Liu et al. (2026) studied this question.
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