Ethical considerations for artificial intelligence in medical imaging: Data collection, development, and evaluation

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

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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 andMolecular Imaging has identified 4major ethical risks: privacy of data subjects, data quality andmodel efficacy, fairness towardmarginalized 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.

Original languageEnglish
Pages (from-to)1848-1854
Number of pages7
JournalJournal of Nuclear Medicine
Volume64
Issue number12
DOIs
StatePublished - 2023

Keywords

  • AI as medical device
  • AI ethics
  • Health disparity
  • Socioeconomic determinants of health
  • Software as medical device

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