Literature DB >> 31818378

Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers.

Maciej A Mazurowski1.   

Abstract

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.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Algorithm development; Artificial intelligence; Ethics; Machine learning

Year:  2020        PMID: 31818378     DOI: 10.1016/j.acra.2019.04.024

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  Do We Expect More from Radiology AI than from Radiologists?

Authors:  Maciej A Mazurowski
Journal:  Radiol Artif Intell       Date:  2021-03-17

Review 2.  Artificial intelligence in paediatric radiology: Future opportunities.

Authors:  Natasha Davendralingam; Neil J Sebire; Owen J Arthurs; Susan C Shelmerdine
Journal:  Br J Radiol       Date:  2020-09-17       Impact factor: 3.039

Review 3.  Applications and challenges of artificial intelligence in diagnostic and interventional radiology.

Authors:  Joseph Waller; Aisling O'Connor; Eleeza Rafaat; Ahmad Amireh; John Dempsey; Clarissa Martin; Muhammad Umair
Journal:  Pol J Radiol       Date:  2022-02-25

4.  Ethics of AI in Radiology: A Review of Ethical and Societal Implications.

Authors:  Melanie Goisauf; Mónica Cano Abadía
Journal:  Front Big Data       Date:  2022-07-14

5.  The Impacts of Subthalamic Nucleus-Deep Brain Stimulation (STN-DBS) on the Neuropsychiatric Function of Patients with Parkinson's Disease Using Image Features of Magnetic Resonance Imaging under the Artificial Intelligence Algorithms.

Authors:  Wei Chen; Maode Wang; Ning Wang; Changwang Du; Xudong Ma; Qi Li
Journal:  Contrast Media Mol Imaging       Date:  2021-07-08       Impact factor: 3.161

  5 in total

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