The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta-analysis.

ABSTRACT:

Purpose

This systematic review and meta-analysis compare AI-assisted 3-dimensional (3D) preoperative planning in total hip arthroplasty (THA) to traditional 2-dimensional (2D) templating.

Methods

PubMed, Scopus, and Embase were searched from inception until October 2024 for studies on the accuracy of 3D preoperative planning in THA. Statistical analysis was performed using R (v4.3.3) with a random-effects model due to high heterogeneity. Odds ratios with 95% confidence intervals were calculated for dichotomous outcomes. Heterogeneity was assessed using the I² statistic, and publication bias was evaluated through funnel plots and Egger's test. The primary outcome was the accuracy of detecting acetabular cup and femoral stem size. This meta-analysis followed PRISMA guid

SUBMITTER: Altahtamouni SB 

PROVIDER: S-EPMC12917923 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature