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

• URL: http://arxiv.org/abs/2108.02814v1
• Date: Thu, 5 Aug 2021 18:58:56 GMT
• Title: Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering
• Authors: E. William Webb and Peter J.H. Scott
• Abstract summary: Artificial intelligence and machine learning are poised to disrupt PET imaging from bench to clinic. In this perspective we offer insights into how the technology could be applied to improve the design and synthesis of new radiopharmaceuticals for PET imaging.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial intelligence and machine learning are poised to disrupt PET imaging from bench to clinic. In this perspective we offer insights into how the technology could be applied to improve the design and synthesis of new radiopharmaceuticals for PET imaging, including identification of an optimal labeling approach as well as strategies for radiolabeling reaction optimization.

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