Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies to the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, which are addressed in this book. The book are divided in four parts: History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning; Applications of AI and ML in Healthcare, focusing on diverse areas of medicine such as primary care, ophthalmology, oncology, emergency medicine, cardiology and surgery; The Future of Healthcare with AI, discussing tools as wearable devices, automated interpretation of medical imaging software, and clinical decision support; and Challenges to Adopting AI in Healthcare, regarding ethics and legal processes for implementation. This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.