Artificial intelligence in the interpretation of upper extremity trauma radiographs: a systematic review and meta-analysis.

ABSTRACT:

Background

Upper extremity fractures represent a significant reason for emergency room visits; however, nonexpert readings commonly lead to diagnostic errors, particularly missed fractures. Artificial intelligence (AI) has emerged as a promising tool to aid in fracture detection, but it has been shown to be comparable to physicians at best, so it remains unclear whether there is value in its increasing implementation. This review aims to analyze the existing literature on AI in the identification and interpretation of upper extremity fractures on x-ray and to assess the diagnostic performance of such AI models.

Methods

Three databases were searched (MEDLINE, Embase, and CENTRAL) for studies involving AI and imaging in upper extremity orthopedics. The review was conducted in

SUBMITTER: Mellon M 

PROVIDER: S-EPMC12277729 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature