This book delves into the intersection of fuzzy logic and artificial intelligence as applied to healthcare. It explores how these technologies enhance patient care through advanced decision-making systems that mimic human reasoning under uncertainty. Readers find particular interest in the detailed methodologies for integrating fuzzy logic with AI to optimize diagnosis, treatment planning, and personalized healthcare management. This book stands out with its clear didactic approach, offering practical insights supported by illustrative examples, tables summarizing key findings, and a comprehensive yet accessible presentation of complex topics. Unlike other texts, it emphasizes real-world applications and benefits, empowering healthcare professionals and researchers to implement intelligent systems effectively, ultimately improving patient outcomes and healthcare efficiency.