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

Tyler James BradshawRonald BoellaardJoyita DuttaAbhinav K JhaPaul JacobsQuanzheng LiChi LiuArkadiusz SitekBabak SabouryPeter J H ScottPiotr J SlomkaJohn J SunderlandRichard L WahlFereshteh YousefiriziSven ZuehlsdorffXinchi HouIrène Buvat
Published in: Journal of nuclear medicine : official publication, Society of Nuclear Medicine (2021)
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.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • primary care
  • healthcare
  • sensitive detection
  • quantum dots