Performance of an artificial intelligence tool for multi-step acute stroke imaging: A multicenter diagnostic study.

ABSTRACT:

Objective

Several artificial intelligence (AI) tools have been developed to assist in the stroke imaging workflow, which remains a major disease of the 21st century. This study evaluated the combined performance of an FDA-cleared and CE-marked AI-based device with three modules designed to detect intracerebral hemorrhage (ICH), identify large vessel occlusion (LVO), and calculate Alberta Stroke Program Early CT Scores (ASPECTS).

Materials & methods

Non-contrast CT (NCCT) and/or computed tomography angiography (CTA) for suspicion of stroke acquired at La Timone and Nord University hospitals (Marseille, France) between March 2019 and March 2020 were retrospectively collected. The AI tool, CINA-HEAD (Avicenna.AI), processed the data to flag ICH, LVO, and calculate ASPECTS. The

SUBMITTER: Agripnidis T 

PROVIDER: S-EPMC12419105 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature