Artificial intelligence is transforming modern healthcare, but its widespread adoption depends on one critical factor "trust". This book explores how Explainable Artificial Intelligence (XAI) enhances transparency, interpretability, and accountability in AI-driven healthcare systems, enabling clinicians, patients, researchers, and policymakers to make informed and confident decisions. Covering theoretical foundations, state-of-the-art methodologies, ethical and regulatory considerations, and real-world healthcare applications, the book provides a comprehensive roadmap for designing and deploying trustworthy AI solutions. 

Artificial intelligence is transforming modern healthcare, but its widespread adoption depends on one critical factor "trust". This book explores how Explainable Artificial Intelligence (XAI) enhances transparency, interpretability, and accountability in AI-driven healthcare systems, enabling clinicians, patients, researchers, and policymakers to make informed and confident decisions. Covering theoretical foundations, state-of-the-art methodologies, ethical and regulatory considerations, and real-world healthcare applications, the book provides a comprehensive roadmap for designing and deploying trustworthy AI solutions.