Artificial Intelligence-Assisted Software Significantly Decreases All Workflow Metrics for Large Vessel Occlusion Transfer Patients, within a Large Spoke and Hub System
Stavros Matsoukas, Laura Katherine Stein, Johanna T Fifi
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1159/000529077 ↗
- Volume · Issue · Pages
- 13 · 1 · 41-46
- Publisher
- S. Karger AG
- Article URL
- https://doi.org/10.1159/000529077 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
14 Feb 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 14 Feb 2023 | OpenAlex |
Keywords (as given): large vessel occlusion; acute ischemic stroke; artificial intelligence; CT angiography; transfer time; interventional neuroradiology; endovascular treatment; time to treatment
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Y
Based on the recorded HEC dataset applicable to the article's publication date. Listed as Y in the HEC list for 2022–23.
- Journal
- Cerebrovascular Diseases Extra
- Publication date used
- 14 Feb 2023 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- Y
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2022-23 row 11922
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.