Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kenny, Lizbeth M, Nevin, Mark, Fitzpatrick, Kirsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291743/
https://www.ncbi.nlm.nih.gov/pubmed/34342139
http://dx.doi.org/10.1111/1754-9485.13289
_version_ 1784749202661703680
author Kenny, Lizbeth M
Nevin, Mark
Fitzpatrick, Kirsten
author_facet Kenny, Lizbeth M
Nevin, Mark
Fitzpatrick, Kirsten
author_sort Kenny, Lizbeth M
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9291743
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-92917432022-07-20 Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists Kenny, Lizbeth M Nevin, Mark Fitzpatrick, Kirsten J Med Imaging Radiat Oncol MEDICAL IMAGING 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. John Wiley and Sons Inc. 2021-08-02 2021-08 /pmc/articles/PMC9291743/ /pubmed/34342139 http://dx.doi.org/10.1111/1754-9485.13289 Text en © 2021 The Authors. Journal of Medical Imaging and Radiation Oncology published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Radiologists https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle MEDICAL IMAGING
Kenny, Lizbeth M
Nevin, Mark
Fitzpatrick, Kirsten
Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title_full Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title_fullStr Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title_full_unstemmed Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title_short Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists
title_sort ethics and standards in the use of artificial intelligence in medicine on behalf of the royal australian and new zealand college of radiologists
topic MEDICAL IMAGING
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291743/
https://www.ncbi.nlm.nih.gov/pubmed/34342139
http://dx.doi.org/10.1111/1754-9485.13289
work_keys_str_mv AT kennylizbethm ethicsandstandardsintheuseofartificialintelligenceinmedicineonbehalfoftheroyalaustralianandnewzealandcollegeofradiologists
AT nevinmark ethicsandstandardsintheuseofartificialintelligenceinmedicineonbehalfoftheroyalaustralianandnewzealandcollegeofradiologists
AT fitzpatrickkirsten ethicsandstandardsintheuseofartificialintelligenceinmedicineonbehalfoftheroyalaustralianandnewzealandcollegeofradiologists