Vol 25, No 4 (2020)
Reviews
Published online: 2020-07-01

open access

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Artificial intelligence in radiotherapy

Sarkar Siddique1, James C.L. Chow23
DOI: 10.1016/j.rpor.2020.03.015
Rep Pract Oncol Radiother 2020;25(4):656-666.

Abstract

Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and machine learning methods, such as neural networks, that are available to us today and how they are being implemented in radiotherapy and diagnostic processes, such as medical imaging, treatment planning, patient simulation, quality assurance and radiation dose delivery. It also explores the ongoing research on AI methods that are to be implemented in radiotherapy in the future. The review shows very promising progress and future for AI to be widely used in various areas of radiotherapy. However, basing on various concerns such as availability and security of using big data, and further work on polishing and testing AI algorithms, it is found that we may not ready to use AI primarily in radiotherapy at the moment.

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Reports of Practical Oncology and Radiotherapy