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Research ArticleState of the Art

Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C. Jones, Abhinav K. Jha, Arman Rahmim, Peter J.H. Scott, John J. Sunderland, Richard L. Wahl, Sven Zuehlsdorff and Babak Saboury
Journal of Nuclear Medicine October 2023, 64 (10) 1509-1515; DOI: https://doi.org/10.2967/jnumed.123.266110
Jonathan Herington
1Department of Health Humanities and Bioethics and Department of Philosophy, University of Rochester, Rochester, New York;
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Melissa D. McCradden
2Department of Bioethics, Hospital for Sick Children, and Dana Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada;
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Kathleen Creel
3Department of Philosophy and Religion and Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts;
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Ronald Boellaard
4Department of Radiology and Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, The Netherlands;
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Elizabeth C. Jones
5Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland;
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Abhinav K. Jha
6Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri;
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Arman Rahmim
7Departments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada;
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Peter J.H. Scott
8Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan;
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John J. Sunderland
9Departments of Radiology and Physics, University of Iowa, Iowa City, Iowa;
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Richard L. Wahl
10Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri; and
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Sven Zuehlsdorff
11Siemens Medical Solutions USA, Inc., Hoffman Estates, Illinois
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Babak Saboury
5Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland;
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    TABLE 1.

    Ethical Dimensions of AIMDs According to Primary Responsible Party: Clinicians During Deployment, Governance by Administrators and Professional Societies, and Governance by State and Federal Regulators

    Ethical dimensionClinicians during deploymentGovernance by administrators and societiesGovernance by regulators
    WelfareEnsure familiarity with performance and limitations of AIMDs before useEnsure clinicians are trained in AIMD performance and limitationsEnsure that clinical utility, not just in silico performance, is evaluated and declared
    Avoid off-label or unevaluated use of AIMDAvoid automation bias through technical and policy interventionsEnsure that legal liability for harm is clearly demarcated
    AutonomyEnsure consent to direct data collection and that risks, benefits, and limitations of AIMD are declared to patientEnsure clear protocols for declaring risks and benefits of AIMD to patientsEnsure that performance and limitations are declared in ways that enable patient and clinician decision-making
    Consider notification for secondary reuse of data in learning AIMDsPromote legitimacy by involving patients in policy priority setting for AIMD usePromote techniques that explain salience of input features at population level
    JusticeCarefully justify use of sensitive attributes (race, sex, etc.) as input featuresEnsure regular auditing of performance disparities by race, sex, etc.Require evaluation of performance disparities by race, sex, etc.
    Avoid conflicts of interest as clinician/researcherEnsure clear mechanisms for managing clinician/researcher conflicts of interestPromote broad access to AIMDs through subsidy and regulation
    • Use of term ensure or required denotes legally or ethically required conduct; use of term promote or avoid denotes ethically ideal conduct.

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    TABLE 2.

    U.S. Food and Drug Administration Grading System for Risk Evaluation of Software as Medical Device (15)

    Significance of AIMD
    Patient conditionNon-CADe (e.g., measure, denoise, annotate; no interpretation)CADe (e.g., identify abnormalities; dosimetry calculation)CADx (e.g., guide diagnosis or treatment)
    Not seriousIIII
    SeriousIIIIII
    CriticalIIIIIIV
    • I–IV represent lowest risk through highest risk.

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Journal of Nuclear Medicine: 64 (10)
Journal of Nuclear Medicine
Vol. 64, Issue 10
October 1, 2023
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Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C. Jones, Abhinav K. Jha, Arman Rahmim, Peter J.H. Scott, John J. Sunderland, Richard L. Wahl, Sven Zuehlsdorff, Babak Saboury
Journal of Nuclear Medicine Oct 2023, 64 (10) 1509-1515; DOI: 10.2967/jnumed.123.266110

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Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C. Jones, Abhinav K. Jha, Arman Rahmim, Peter J.H. Scott, John J. Sunderland, Richard L. Wahl, Sven Zuehlsdorff, Babak Saboury
Journal of Nuclear Medicine Oct 2023, 64 (10) 1509-1515; DOI: 10.2967/jnumed.123.266110
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    • Abstract
    • CLINICAL USE OF AIMD IN NUCLEAR MEDICINE
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Keywords

  • AI ethics
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