Role of Artificial Intelligence in Machine Learning for Diagnosis and Radiotherapy

Abstract

Currently there is a buzz about artificial intelligence (AI) and machine learning (ML) in every sector. The current chapter is focused on role of AI and ML in healthcare system especially diagnosis and radiotherapy. Different machine learning algorithm models such as supervised, unsupervised, semi-supervised, and reinforcement learning were also mentioned in this chapter. Herein authors also discusses role of AI in radiology and different types of radiation therapy with its mechanism of action. This chapter explores the ongoing research and implementation of AI and ML in diagnosis and radiotherapy. Successful application of AI and ML algorithms in radiotherapy has been discussed in detail. However, many challenges are there in clinical application of AI in diagnosis and radiotherapy at this time such as quality assurance, reproducibility, implementation, and interpretability.

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