The University of Southampton
University of Southampton Institutional Repository

Benefits of a regional CT artificial intelligence work steam in identifying patients for transfer to a comprehensive stroke centre (CSC) for mechanical thrombectomy

Benefits of a regional CT artificial intelligence work steam in identifying patients for transfer to a comprehensive stroke centre (CSC) for mechanical thrombectomy
Benefits of a regional CT artificial intelligence work steam in identifying patients for transfer to a comprehensive stroke centre (CSC) for mechanical thrombectomy
Artificial intelligence identifies stroke patients with large vessel occlusion and those with an ischaemic penumbra who may benefit from thrombolysis or thrombectomy. The creation of a regional imaging stream enables earlier detection and faster transfer from primary stroke centre (PSC) to CSC.
1747-4930
3 - 124
Marigold, Richard
23c9f4cc-a1da-41a0-84bd-8e1aee91ed78
Marigold, Richard
23c9f4cc-a1da-41a0-84bd-8e1aee91ed78

Marigold, Richard (2023) Benefits of a regional CT artificial intelligence work steam in identifying patients for transfer to a comprehensive stroke centre (CSC) for mechanical thrombectomy. International Journal of Stroke, 18 (1), 3 - 124.

Record type: Meeting abstract

Abstract

Artificial intelligence identifies stroke patients with large vessel occlusion and those with an ischaemic penumbra who may benefit from thrombolysis or thrombectomy. The creation of a regional imaging stream enables earlier detection and faster transfer from primary stroke centre (PSC) to CSC.

This record has no associated files available for download.

More information

Published date: 1 January 2023
Venue - Dates: 17th UK Stroke Forum, , Liverpool, United Kingdom, 2022-11-22 - 2022-12-01

Identifiers

Local EPrints ID: 492363
URI: http://eprints.soton.ac.uk/id/eprint/492363
ISSN: 1747-4930
PURE UUID: e2969a00-c0e8-4990-9a4a-03a9981a7338

Catalogue record

Date deposited: 25 Jul 2024 16:38
Last modified: 25 Jul 2024 17:36

Export record

Contributors

Author: Richard Marigold

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×