Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes.

ABSTRACT:

Purpose

Automated large vessel occlusion (LVO) tools allow for prompt identification of positive LVO cases, but little is known about their role in acute stroke triage when implemented in a real-world setting. The purpose of this study was to evaluate the automated LVO detection tool's impact on acute stroke workflow and clinical outcomes.

Materials and methods

Consecutive patients with a computed tomography angiography (CTA) presenting with suspected acute ischemic stroke were compared before and after the implementation of an AI tool, RAPID LVO (RAPID 4.9, iSchemaView, Menlo Park, CA). Radiology CTA report turnaround times (TAT), door-to-treatment times, and the NIH stroke scale (NIHSS) after treatment were evaluated.

Results

A total of 439 cases in the pre-AI group

SUBMITTER: Soun JE 

PROVIDER: S-EPMC10248058 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature