Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

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, recomme...

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Published in:The Journal of nuclear medicine (1978) Vol. 63; no. 4; p. 500
Main Authors: Bradshaw, Tyler J, Boellaard, Ronald, Dutta, Joyita, Jha, Abhinav K, Jacobs, Paul, Li, Quanzheng, Liu, Chi, Sitek, Arkadiusz, Saboury, Babak, Scott, Peter J H, Slomka, Piotr J, Sunderland, John J, Wahl, Richard L, Yousefirizi, Fereshteh, Zuehlsdorff, Sven, Rahmim, Arman, Buvat, Irène
Format: Journal Article
Language:English
Published: United States 01.04.2022
Subjects:
Algorithms
Artificial Intelligence
Molecular Imaging
Nuclear Medicine
Radionuclide Imaging
research methods
computer/PACS
artificial intelligence
best practices
algorithm
statistics
ISSN:1535-5667, 1535-5667
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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.
AbstractList 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.
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.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.
Author Rahmim, Arman
Buvat, Irène
Jacobs, Paul
Bradshaw, Tyler J
Sunderland, John J
Li, Quanzheng
Sitek, Arkadiusz
Dutta, Joyita
Scott, Peter J H
Yousefirizi, Fereshteh
Slomka, Piotr J
Jha, Abhinav K
Liu, Chi
Boellaard, Ronald
Saboury, Babak
Wahl, Richard L
Zuehlsdorff, Sven
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  givenname: Tyler J
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  givenname: Ronald
  surname: Boellaard
  fullname: Boellaard, Ronald
  organization: Department of Radiology and Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, The Netherlands
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  givenname: Joyita
  surname: Dutta
  fullname: Dutta, Joyita
  organization: Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, Massachusetts
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  givenname: Abhinav K
  surname: Jha
  fullname: Jha, Abhinav K
  organization: Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri
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  organization: Department of Radiology and Biomedical Imaging, Yale University, New Haven, Connecticut
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  surname: Sitek
  fullname: Sitek, Arkadiusz
  organization: Sano Centre for Computational Medicine, Kraków, Poland
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  givenname: Babak
  surname: Saboury
  fullname: Saboury, Babak
  organization: Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland
– sequence: 10
  givenname: Peter J H
  surname: Scott
  fullname: Scott, Peter J H
  organization: Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan
– sequence: 11
  givenname: Piotr J
  surname: Slomka
  fullname: Slomka, Piotr J
  organization: Department of Imaging, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California
– sequence: 12
  givenname: John J
  surname: Sunderland
  fullname: Sunderland, John J
  organization: Departments of Radiology and Physics, University of Iowa, Iowa City, Iowa
– sequence: 13
  givenname: Richard L
  surname: Wahl
  fullname: Wahl, Richard L
  organization: Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri
– sequence: 14
  givenname: Fereshteh
  surname: Yousefirizi
  fullname: Yousefirizi, Fereshteh
  organization: Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
– sequence: 15
  givenname: Sven
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  organization: Siemens Medical Solutions USA, Inc., Hoffman Estates, Illinois
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  givenname: Arman
  surname: Rahmim
  fullname: Rahmim, Arman
  organization: Departments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada; and
– sequence: 17
  givenname: Irène
  surname: Buvat
  fullname: Buvat, Irène
  organization: Institut Curie, Université PSL, INSERM, Université Paris-Saclay, Orsay, France
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best practices
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Artificial Intelligence
Molecular Imaging
Nuclear Medicine
Radionuclide Imaging
Title Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
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