This cutting-edge reference book discusses the intervention of Artificial Intelligence (AI) in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of Artificial Intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of Machine Learning (ML) in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of Artificial Intelligence in predicting potential adverse biological effects. Artificial Intelligence (AI) has offered a crucial part in significantly developing and nurturing the field of pharmacy throughout the world. The chapters in this book will deal with the omnipotent and omnipresent inevitability of AI, an overview of AI-driven pharmaceutical functionality, AI in drug delivery systems, the role of AI in drug discovery and development, AI applications in scrutinizing health status, and the benefits of robotics in surgery, analysis of pharmaceutical formulations using AI, role of AI in pharmaceutical drugs, gene therapies, and medical device regulation, etc. Deep Learning (DL) is a function of AI that mimics the activity of the human brain to create patterns for information processing and decision-making. It is a subset of ML in the field of AI that can control learning from unstructured or networked data. This is also referred to as deep neural learning or deep neural network.