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Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
60
Zitationen
18
Autoren
2022
Jahr
Abstract
Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of health care. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We envision a road map for the establishment of trustworthy AI ecosystems in nuclear medicine. In this report, AI is contextualized in the history of technologic revolutions. Opportunities for AI applications in nuclear medicine related to diagnosis, therapy, and workflow efficiency, as well as emerging challenges and critical responsibilities, are discussed. Establishing and maintaining leadership in AI require a concerted effort to promote the rational and safe deployment of this innovative technology by engaging patients, nuclear medicine physicians, scientists, technologists, and referring providers, among other stakeholders, while protecting our patients and society. This strategic plan was prepared by the AI task force of the Society of Nuclear Medicine and Molecular Imaging.
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Autoren
Institutionen
- National Institutes of Health Clinical Center(US)
- University of Wisconsin–Madison(US)
- Université Paris-Saclay(FR)
- Université Paris Sciences et Lettres(FR)
- Institut Curie(FR)
- Inserm(FR)
- University of Massachusetts Lowell(US)
- Université de Bretagne Occidentale(FR)
- Laboratoire de Traitement de l'Information Médicale(FR)
- Mallinckrodt (United States)(US)
- Massachusetts General Hospital(US)
- Harvard University(US)
- Yale University(US)
- Barts Health NHS Trust(GB)
- University of Michigan(US)
- University of Maryland, Baltimore(US)
- University of Maryland Medical Center(US)
- University of Iowa(US)
- Memorial Sloan Kettering Cancer Center(US)
- Medical Solutions(GB)
- University of British Columbia(CA)