Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.

Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
PMID: 37827839

Abstract

The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical use. Drawing on the traditional principles of medical and research ethics, and highlighting the need to ensure health justice, the AI task force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks: privacy of data subjects, data quality and model efficacy, fairness toward marginalized populations, and transparency of clinical performance. We provide preliminary recommendations to developers of AI-driven medical devices for mitigating the impact of these risks on patients and populations.

Authors

  • Jonathan Herington
    University of Rochester.
  • Melissa D McCradden
    Division of Neurosurgery (McCradden, Baba, Saha, Boparai, Fadaiefard, Cusimano), St. Michael's Hospital, Unity Health Toronto; Dalla Lana School of Public Health (Cusimano), University of Toronto, Toronto, Ont. injuryprevention@smh.ca.
  • Kathleen Creel
    Department of Philosophy and Religion and Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts.
  • Ronald Boellaard
    Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.
  • Elizabeth C Jones
    Clinical Center, National Institutes of Health, Bethesda, MD, United States.
  • Abhinav K Jha
    Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States of America.
  • Arman Rahmim
  • Peter J H Scott
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: pjhscott@umich.edu.
  • John J Sunderland
    Department of Radiology, The University of Iowa, Iowa City, IA, 52242, USA.
  • Richard L Wahl
    Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
  • Sven Zuehlsdorff
    Siemens Medical Solutions USA, Inc., Knoxville, Tennessee.
  • Babak Saboury
    IBM Research, Almaden, San Jose, California.

Keywords

External Resources

Popular Topics
Recent Journals