Reviews the convergence AI and medicine. As healthcare systems face rising demands, clinician shortages, and the complexity of patient data; machine learning and deep learning are stepping in as transformative forces - to improve diagnosis, personalize treatments, and enhance patient outcomes. This book is a comprehensive guide to technologies, applications, and implications of AI in healthcare. It navigates through the foundational principles of machine learning, dives into real-world implementations such as radiology diagnostics, robotic surgery, and predictive analytics, and addresses key topics like natural language processing of EHRs and AI assisted drug discovery.