Cited by 41Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIArtificial Intelligence Applications

Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists

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Kenny, Lizbeth M, Nevin, Mark, Fitzpatrick, Kirsten·2021·Journal of Medical Imaging and Radiation Oncology

Abstract

Introduction: The Royal Australian and New Zealand College of Radiologists (RANZCR) led the medical community in Australia and New Zealand in considering the impact of machine learning and artificial intelligence (AI) in health care. RANZCR identified that medical leadership was largely absent from these discussions, with a notable absence of activity from governments in the Australasian region up to 2019. The clinical radiology and radiation oncology sectors were considered ripe for the adoption of AI, and this raised a range of concerns about how to ensure the ethical application of AI and to guide its safe and appropriate use in our two specialties. Methods: RANZCR’s Artificial Intelligence Committee undertook a landscape review in 2019 anddetermined that AI within clinical radiology and radiation oncology had the potential to grow rapidly and significantly impact the professions. In order to address this, RANZCR drafted ethical principles on the use of AI and standards to guide deployment and engaged in extensive stakeholder consultation to ensure a range of perspectives were received and considered. Results: RANZCR published two key bodies of work: The Ethical Principles of Artificial Intelligence in Medicine, and the Standards of Practice for Artificial Intelligence in Clinical Radiology. Conclusion: RANZCR’s publications in this area have established a solid foundation to prepare for the application of AI, however more work is needed. We will continue to assess the evolution of AI and ML within our professions, strive to guide the upskilling of clinical radiologists and radiation oncologists, advocate for appropriate regulation and produce guidance to ensure that patient care is delivered safely.

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  1. [4]The European AI Landscape Workshop Report. [Cited 3 March 2021.] Available from URL: https://ec.europa.eu/jrc/communities/sites/jrccties/files/reportontheeuropeanailandscapeworkshop.pdf

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Authors
Kenny, L. M., Nevin, M., & Fitzpatrick, K.
Affiliations
  • Royal Brisbane and Women’s Hospital Herston Queensland Australia
  • Royal Australian and New Zealand College of Radiologists (AU)
Corresponding author
Fitzpatrick, Kirsten
Venue
Journal of Medical Imaging and Radiation Oncology
Publisher
Wiley
Published
2021-08
Volume
65
Issue
5
Pages
486-494
ISSN
  • 1754-9477 (ISSN-L)
  • 1754-9485
OpenAlex
W3191796941
Cited by
41
References
3
Citations by year
2026: 4 · 2025: 11 · 2024: 18 · 2023: 3 · 2022: 4 · 2021: 1
FWCI
1.89
Type
journal article
Language
en
Open access
Locations
  • Journal of Medical Imaging and Radiation Oncology (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence in healthcare, machine learning, clinical radiology, radiation oncology, AI ethics, ethical principles, standards of practice, professional guidelines, AI regulation, stakeholder consultation
MeSH terms
Radiologists, Artificial Intelligence, Australia, Humans, New Zealand, Radiology

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