Journal article
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
The Journal of nuclear medicine (1978), Vol.63(4), pp.jnumed.121.262567-510
11/05/2021
DOI: 10.2967/jnumed.121.262567
PMCID: PMC10949110
PMID: 34740952
Abstract
The nuclear medicine field has seen a rapid expansion of academic and commercial interests 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 for technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations followed by descriptions on 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.
Details
- Title: Subtitle
- Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
- Creators
- Tyler Bradshaw - University of Wisconsin–MadisonRonald Boellaard - Department of Radiology & Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centres.Joyita Dutta - University of Massachusetts LowellAbhinav Jha - Washington University in St. LouisPaul Jacobs - MIM Software Inc., United States.Quanzheng Li - Massachusetts General HospitalChi Liu - Yale UniversityArkadiusz Sitek - Sano Centre for Computational Medicine.Babak Saboury - National Institutes of Health Clinical CenterPeter Scott - University of Michigan–Ann ArborPiotr Slomka - Cedars-Sinai Medical CenterJohn Sunderland - University of IowaRichard Wahl - MallinckrodtFereshteh Yousefirizi - Department of Integrative Oncology, BC Cancer Research Institute.Sven Zuehlsdorff - Medical SolutionsArman Rahmim - University of British ColumbiaIrène Buvat - University of Paris-Saclay
- Resource Type
- Journal article
- Publication Details
- The Journal of nuclear medicine (1978), Vol.63(4), pp.jnumed.121.262567-510
- DOI
- 10.2967/jnumed.121.262567
- PMID
- 34740952
- PMCID
- PMC10949110
- NLM abbreviation
- J Nucl Med
- ISSN
- 0161-5505
- eISSN
- 1535-5667
- Publisher
- Society of Nuclear Medicine
- Language
- English
- Date published
- 11/05/2021
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology
- Record Identifier
- 9984312967102771
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