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Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance.
Herington, Jonathan; McCradden, Melissa D; Creel, Kathleen; Boellaard, Ronald; Jones, Elizabeth C; Jha, Abhinav K; Rahmim, Arman; Scott, Peter J H; Sunderland, John J; Wahl, Richard L; Zuehlsdorff, Sven; Saboury, Babak.
Afiliación
  • Herington J; Department of Health Humanities and Bioethics and Department of Philosophy, University of Rochester, Rochester, New York.
  • McCradden MD; Department of Bioethics, Hospital for Sick Children, and Dana Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Creel K; Department of Philosophy and Religion and Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts.
  • Boellaard R; Department of Radiology and Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
  • Jones EC; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland.
  • Jha AK; Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
  • Rahmim A; Departments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada.
  • Scott PJH; Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan.
  • Sunderland JJ; Departments of Radiology and Physics, University of Iowa, Iowa City, Iowa.
  • Wahl RL; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri; and.
  • Zuehlsdorff S; Siemens Medical Solutions USA, Inc., Hoffman Estates, Illinois babak.saboury@nih.gov.
  • Saboury B; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland; babak.saboury@nih.gov.
J Nucl Med ; 64(10): 1509-1515, 2023 10.
Article en En | MEDLINE | ID: mdl-37620051
ABSTRACT
The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical devices (AIMDs) are trustworthy. Highlighting the need to ensure health justice by fairly distributing benefits and burdens while respecting individual patients' rights, the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks that arise during the deployment of AIMD autonomy of patients and clinicians, transparency of clinical performance and limitations, fairness toward marginalized populations, and accountability of physicians and developers. We provide preliminary recommendations for governing these ethical risks to realize the promise of AIMD for patients and populations.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Médicos / Medicina Nuclear Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Nucl Med Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Médicos / Medicina Nuclear Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Nucl Med Año: 2023 Tipo del documento: Article