"Revolutionizing Medical Systems using Artificial Intelligence" provides an overview of various machine learning and deep learning techniques addressing the needs of the patient and providing medical aid at an early stage of the disease. The book reviews, analyzes, and compare the different methodologies utilized for the prediction and detection of several diseases. In addition, it explores the possibility of deployment of these advancements in medical systems from paper to practice. With the advent of technology, tele consultation, tele medicine, mobile health care it is now possible to provide the continuous monitoring of health of the user even in case of pandemic outbreak. This title emphasizes to fulfill the need of connected healthcare systems. In 15 chapters "Revolutionizing Medical Systems using Artificial Intelligence" introduces the reader to Artificial Intelligence in medical systems, provides insight into the role of Artificial Intelligence in the prognosis, diagnosis and analysis of several diseases and describes the paradigm shift from traditional to smart healthcare. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.