Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development.

Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Published Date: Nov 5, 2021

Abstract

The nuclear medicine field has seen a rapid expansion of academic and commercial interest in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of the pitfalls of AI by recognizing and following best practices in AI algorithm development. In this article, recommendations on technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations and then continuing with descriptions of how one might practice these principles for specific topics within nuclear medicine. This report was produced by the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging.

Authors

  • Tyler J Bradshaw
    Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States of America.
  • Ronald Boellaard
    Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.
  • Joyita Dutta
  • Abhinav K Jha
    Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States of America.
  • Paul Jacobs
    MIM Software Inc., Cleveland, Ohio.
  • Quanzheng Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Chi Liu
  • Arkadiusz Sitek
  • Babak Saboury
    IBM Research, Almaden, San Jose, California.
  • Peter J H Scott
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: pjhscott@umich.edu.
  • Piotr J Slomka
    Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California Piotr.Slomka@cshs.org.
  • 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.
  • Fereshteh Yousefirizi
    Department of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. Electronic address: frizi@bccrc.ca.
  • Sven Zuehlsdorff
    Siemens Medical Solutions USA, Inc., Knoxville, Tennessee.
  • Arman Rahmim
  • Irène Buvat
    Imagerie Moléculaire In Vivo, CEA, Inserm, Univ Paris Sud, CNRS, Université Paris Saclay, Orsay, France.

Keywords

External Resources

Popular Topics
Recent Journals