Bioinformatics Tools for Pharmaceutical Drug Product Development

14Role of Artificial Intelligence in Machine Learning for Diagnosis and Radiotherapy

Sanket Chintawar¹, Vaishnavi Gattani¹, Shivanee Vyas¹ and Shilpa Dawre^1,2*

¹Department of Pharmaceutics School of Pharmacy & Technology Management, SVKMs, NMIMS Babulde Banks of Tapi River, Shirpur, Maharashtra, India

²Department of Pharmaceutics, School of Pharmacy, Vishwakarma University, Kondhwa, Pune, Maharashtra, India

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.

Keywords: Artificial intelligence, machine learning, diagnosis, radiotherapy, machine learning models

Abbreviations

PET	Positron emission tomography
AI	Artificial intelligence
ML	Machine learning ...