Artificial intelligence in radiation oncology: How far have we reached?

Abstract

Technological advances have revolutionized the field of radiation oncology (RO) as more and more departments are now equipped with modern linear accelerators and planning systems, resulting in the generation of a considerable amount of clinical, imaging, and dosimetric data. Artificial intelligence (AI) can utilize all these data points to create models which can expedite decision-making, treatment planning, and response assessment. However, various roadblocks impede the speed of development in this field. While data quality and security are the top priorities, legal and ethical issues are equally important. This scoping review provides an overview of the emerging possibilities resulting from an integration of modern RO workflow and AI-based technologies.