Automated detection of large vessel occlusion using deep learning: a pivotal multicenter study and reader performance study.

ABSTRACT:

Background

To evaluate the stand-alone efficacy and improvements in diagnostic accuracy of early-career physicians of the artificial intelligence (AI) software to detect large vessel occlusion (LVO) in CT angiography (CTA).

Methods

This multicenter study included 595 ischemic stroke patients from January 2021 to September 2023. Standard references and LVO locations were determined by consensus among three experts. The efficacy of the AI software was benchmarked against standard references, and its impact on the diagnostic accuracy of four residents involved in stroke care was assessed. The area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity of the software and readers with versus without AI assistance were calculated.

Results

A

SUBMITTER: Kim JG 

PROVIDER: S-EPMC12573350 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature