Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Health and Agricultural Sciences
  3. School of Medicine
  4. Medicine Research Collection
  5. Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland
 
  • Details
Options

Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland

Author(s)
Ryan, Marie-Louise  
O'Donovan, Theresa  
McNulty, Jonathan P.  
Uri
http://hdl.handle.net/10197/24477
Date Issued
2021-10-01
Date Available
2023-06-15T15:08:12Z
Abstract
Introduction: Implementation of Artificial Intelligence (AI) into medical imaging is much debated. Diagnostic Radiographers (DRs) and Radiation Therapists (RTTs) are at the forefront of this technological leap, thus an understanding of their views, in particular changes to their current roles, is key to safe, optimal implementation. Methods: An online survey was designed, including themes: role changes, clinical priorities for AI, patient benefits, and education. It was distributed nationally in the Republic of Ireland via the national professional body, clinical management, and social media. Results: 318 DRs and 77 RTTs participated. Priority areas for development included quality assurance, clinical audit, radiation dose optimisation, and improved workflow for DRs and treatment planning algorithm optimisation, clinical audit, and post processing for RTTs. There was resistance regarding AI use for patient facing roles and final image interpretation. 27.6% of DRs and 40.3% of RTTs currently use AI clinically and 46.1% of DRs and 41.2% of RTTs anticipate reduced staffing levels with AI. 64.9% of DRs and 70.6% of RTTs felt AI will be positive for patients, with the majority promoting AI regulation through national legislation. 86.1% of DRs and 94.0% of RTTs were favourable to AI implementation. Conclusion: This research identifies priority AI development and implementation areas for DRs and RTTs. It thus highlights that DRs and RTTs should be involved in development of AI tools that would best support practice, and that clearly defined pathways for AI implementation into these key professions requires discussion so that optimum use and patient safety can ensue. Implications for practice: Understanding opinions of AI has significant implications for practice, for ensuring optimal product development, implementation, and training, together with planning for potential DR and RTT role changes.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Radiography
Volume
27
Issue
1
Start Page
S74
End Page
S82
Copyright (Published Version)
2021 The College of Radiographers
Subjects

Artificial intelligen...

Education

Medical imaging

Professional issues

Radiation therapists

Radiographers

DOI
10.1016/j.radi.2021.07.022
Language
English
Status of Item
Peer reviewed
ISSN
1078-8174
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

Ryan, O'Donovan, McNulty 2021. Artificial Intelligence - the opinions of radiographers and radiation therapists in Ireland.pdf

Size

1.09 MB

Format

Adobe PDF

Checksum (MD5)

2e214a2e5f94a94ddac79071b72311f2

Owning collection
Medicine Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement