The ARIA trial protocol:a randomised controlled trial to assess the clinical, technical, and cost-effectiveness of a cloud-based, ARtificially Intelligent image fusion system in comparison to standard treatment to guide endovascular Aortic aneurysm repair

Budge, James, Carrell, Tom, Yaqub, Medeah et al. (8 more authors) (2024) The ARIA trial protocol:a randomised controlled trial to assess the clinical, technical, and cost-effectiveness of a cloud-based, ARtificially Intelligent image fusion system in comparison to standard treatment to guide endovascular Aortic aneurysm repair. Trials. 214. ISSN 1745-6215

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Budge, James
  • Carrell, Tom
  • Yaqub, Medeah
  • Wafa, Hatem
  • Waltham, Matt
  • Pilecka, Izabela
  • Kelly, Joanna
  • Murphy, Caroline
  • Palmer, Stephen ORCID logo https://orcid.org/0000-0002-7268-2560
  • Wang, Yanzhong
  • Clough, Rachel E.
Copyright, Publisher and Additional Information:

Publisher Copyright: © The Author(s) 2024.

Keywords: AI,Aneurysm,Aortic surgery,BEVAR,Computer vision,Cydar,Endovascular,EVAR,FEVAR,Image fusion
Dates:
  • Published: 25 March 2024
  • Accepted: 6 October 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
Depositing User: Pure (York)
Date Deposited: 19 Jul 2024 11:40
Last Modified: 28 Jan 2025 00:14
Published Version: https://doi.org/10.1186/s13063-023-07710-5
Status: Published
Refereed: Yes
Identification Number: 10.1186/s13063-023-07710-5
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Filename: s13063-023-07710-5.pdf

Description: The ARIA trial protocol: a randomised controlled trial to assess the clinical, technical, and cost-efectiveness of a cloud-based, ARtifcially Intelligent image fusion system in comparison to standard treatment to guide endovascular Aortic aneurysm repair

Licence: CC-BY 2.5

Export

Statistics