The integration of AI in healthcare is not just a trend; it represents a fundamental shift that redefines how we diagnose, treat, and prevent diseases. From enhancing diagnostic accuracy in radiology to facilitating personalized medicine in oncology and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient’s care. Yet, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges remains an obstacle. This book seeks to demystify AI for clinicians by providing a structured exploration of AI’s current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.