Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy.

ABSTRACT: Conventional radiography (CR) is primarily utilized for fracture diagnosis. Artificial intelligence (AI) for CR is a rapidly growing field aimed at enhancing efficiency and increasing diagnostic accuracy. However, the diagnostic performance of commercially available AI fracture detection solutions (CAAI-FDS) for CR in various anatomical regions, their synergy with human assessment, as well as the influence of industry funding on reported accuracy are unknown. Peer-reviewed diagnostic test accuracy (DTA) studies were identified through a systematic review on Pubmed and Embase. Diagnostic performance measures were extracted especially for different subgroups such as product, type of rater (stand-alone AI, human unaided, human aided), funding, and anatomical region. Pooled measures were obtai

SUBMITTER: Husarek J 

PROVIDER: S-EPMC11452402 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature