LGAug 5, 2021
Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering
arXiv:2108.02814v113 citations
Originality Synthesis-oriented
AI Analysis
This perspective addresses potential improvements in radiochemistry for medical imaging, but it is incremental as it speculates on future applications without presenting new results.
The paper explores how AI and ML could enhance the design and synthesis of radiopharmaceuticals for PET imaging, focusing on optimizing labeling approaches and reaction strategies.
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.