As artificial intelligence (AI) is finding its place in radiology, it is important
to consider how to guide the research and clinical implementation in a way that will
be most beneficial to patients. Although there are multiple aspects of this issue,
I consider a specific one: a potential misalignment of the self-interests of radiologists
and AI developers with the best interests of the patients. Radiologists know that
supporting research into AI and advocating for its adoption in clinical settings could
diminish their employment opportunities and reduce respect for their profession. This
provides an incentive to oppose AI in various ways. AI developers have an incentive
to hype their discoveries to gain attention. This could provide short-term personal
gains, however, it could also create a distrust toward the field if it became apparent
that the state of the art was far from where it was promised to be. The future research
and clinical implementation of AI in radiology will be partially determined by radiologist
and AI researchers. Therefore, it is very important that we recognize our own personal
motivations and biases and act responsibly to ensure the highest benefit of the AI
transformation to the patients.
Key Words
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REFERENCES
Ethics of AI in radiology: European and North American multisociety statement.
- Ethics, artificial intelligence, and radiology.J Am Coll Radiol. 2018; 15: 1317-1319
RANZCR ethical principles for AI in medicine - consultation.
- A short history of ethics: a history of moral philosophy from the Homeric age to the 20th century.Routledge, 2003
- The death of cancer: after fifty years on the front lines of medicine, a pioneering oncologist reveals why the war on cancer is winnable–and how we can get there.Sarah Crichton Books, 2015
Kahneman D, Egan P. (2011) Thinking, fast and slow. Farrar, Straus and Giroux New York.
- The righteous mind: Why good people are divided by politics and religion.Vintage, 2012
Article Info
Publication History
Accepted:
April 21,
2019
Received:
April 15,
2019
Identification
Copyright
© 2019 Published by Elsevier Inc. on behalf of The Association of University Radiologists.
