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

arXiv: https://arxiv.org/abs/2108.02814 · HTML: https://mlsanity.com/paper/2108.02814/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 37 references that are in the map.
- First posted on arXiv 5 Aug 2021.

## Builds on (most cited first, 1 of 1)

- [Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans](https://mlsanity.com/paper/2008.06388/) (2020)

## Abstract (arXiv)

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.