Ontology highlight
ABSTRACT: Purpose
Artificial intelligence (AI) in orthopaedic surgery is increasingly applied to analyse clinical data, triage patients and interpret imaging with high accuracy. Orthopaedics surgery faces unique challenges, including high patient volumes, complex cases and prolonged waiting lists, highlighting the need for efficiency and decision support. To justify implementation, AI must demonstrate performance comparable to surgeons. This systematic review evaluates AI's performance relative to surgeons to determine its value as a complementary tool in orthopaedic practice.Methods
This systematic review was conducted using OVID Medline. Relevant studies published up to 13 August 2025 were identified. Included studies were categorised into decision making, management plans, clinica
SUBMITTER: Russell J
PROVIDER: S-EPMC12616488 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature