Prosthesis
How Accurately Can Artificial Intelligence Measure Component Position After Total Hip and Knee Arthroplasty? A Systematic Review and Meta-Analysis
By Michele Loiodice, Gianmarco Sirago, Giovanni Vicenti and 3 others.
Abstract
Background/Objectives: Artificial intelligence (AI) may standardise radiographic measurement of component position, but its accuracy is uncertain. We assessed agreement between AI and reference-standard measurements after primary total hip (THA) and total knee arthroplasty (TKA).
Methods
Four databases were searched from 2015 to 13 July 2026 (PROSPERO CRD420261455545). Study selection, data extraction, risk of bias (QUADAS-2), reporting (CLAIM 2024), and certainty of evidence (GRADE) were assessed in duplicate. Signed mean differences were pooled with random-effects models and modified Hartung–Knapp intervals, while proportions within 2° were pooled using binomial-normal mixed models.



