Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering.

Journal: PET clinics
PMID:

Abstract

Artificial intelligence and machine learning are poised to disrupt PET imaging from bench to clinic. In this perspective, the authors offer insights into how the technology could be applied to improve the radiosynthesis of new radiopharmaceuticals for PET imaging, including identification of an optimal labeling approach as well as strategies for radiolabeling reaction optimization.

Authors

  • E William Webb
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Peter J H Scott
    Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: pjhscott@umich.edu.