Regulatory authority over ionizing radiation in medicine is widely dispersed among several government agencies at the federal, state, and local levels. At the federal level, the NRC and the FDA exercise primary regulatory authority over the use of ionizing radiation in medicine. In addition to the NRC and the FDA, the Environmental Protection Agency (EPA), the Occupational Safety and Health Administration (OSHA), and the Department of Energy (DOE) oversee exposure standards for the public and for workers. The transportation of radionuclides is regulated by the Department of Transportation (DOT). In some cases, regulatory standards are established at the federal level but are administered by the states. Where federal oversight is absent, some states regulate independently in their roles as protectors of the public health and safety, but state laws and regulations often differ.
Quote from book
Institute of Medicine (US) Committee for Review and Evaluation of the Medical Use Program of the Nuclear Regulatory Commission; Gottfried KLD, Penn G, editors. Washington (DC): National Academies Press (US); 1996.
Available from
https://www.ncbi.nlm.nih.gov/books/NBK232722/#:~:text=Regulatory%20authority%20over%20ionizing%20radiation%20in%20medicine%20is,over%20the%20use%20of%20ionizing%20radiation%20in%20medicine.
Nuclear Regulatory Commission (NRC)
1-800-368-5642, 301-415-7000
https://www.nrc.gov/about-nrc/contactus.html
American Society For Radiation Oncology (ASTRO)
703-502-1550
https://www.astro.org/
American Society of Radiologic Technologists (ASRT)
800-444-2778
https://www.asrt.org/
United States Food & Drug Administration (FDA)
Contact Number1-888-INFO-FDA (1-888-463-6332)
https://www.fda.gov/
Occupational Safety and Health Administration (OSHA)
800-321-6742 (OSHA)
https://www.osha.gov/
Start your research with these databases.
Below are a few citations for articles regarding Artificial Intelligence. You may find the information interesting and useful. Just copy and paste its associated URL into a browser to access the full text of the article.
1. Fu, Yabo et al. “Artificial Intelligence in Radiation Therapy.”
IEEE transactions on radiation and plasma medical sciences
vol. 6,2 (2022): 158-181.
doi:10.1109/TRPMS.2021.3107454
https://pubmed.ncbi.nlm.nih.gov/35992632/ PMID: 35992632
2. Sheng, Yang et al. “Artificial intelligence applications in intensity
modulated radiation treatment planning: an overview.”
Quantitative imaging in medicine and surgery
vol. 11,12 (2021): 4859-4880.
doi:10.21037/qims-21-208
https://pubmed.ncbi.nlm.nih.gov/34888195/ PMID: 34888195
3. Netherton, Tucker J et al. “The Emergence of Artificial Intelligence within
Radiation Oncology Treatment Planning.”
Oncology vol. 99,2 (2021): 124-134.
doi:10.1159/000512172
https://pubmed.ncbi.nlm.nih.gov/33352552/ PMID: 33352552
4. O'Shaughnessey, Julie, and Mark L Collins.
“Radiation therapist perceptions on how artificial intelligence
may affect their role and practice.”
Journal of medical radiation sciences
vol. 70 Suppl 2,Suppl 2 (2023): 6-14.
doi:10.1002/jmrs.638
https://pubmed.ncbi.nlm.nih.gov/36479610/ PMID: 36479610
5. Victor Mugabe, Koki.
“Barriers and facilitators to the adoption of artificial intelligence
in radiation oncology: A New Zealand study.”
Technical innovations & patient support in radiation oncology
vol. 18 16-21. 21 Apr. 2021.
doi:10.1016/j.tipsro.2021.03.004
https://pubmed.ncbi.nlm.nih.gov/33981867/ PMID: 33981867