AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study.

ABSTRACT: To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans. All CT scans were interpreted by two radiologists. The CT images were re-evaluated by primary readers with AI assistance in a blinded manner. Reference standards were established by two musculoskeletal radiologists. The re-evaluation results were then compared with those from the initial double-reading. The primary analysis focused on demonstrate superiority of AI-assisted sensitivity and the noninferiority of specificity at patient level, compared to standard double-reading. Secondar

SUBMITTER: Sun L 

PROVIDER: S-EPMC11760585 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature