Explainable AI for Critical Disease Management

Explainable AI for Critical Disease Management: Diagnosis, Prognosis, and Treatment explores the transformative role of Artificial Intelligence (AI) in modern healthcare, with particular emphasis on making AI-driven clinical decisions transparent, interpretable, and trustworthy. This book provides a valuable foundation for understanding the intersection of Explainable AI and critical disease management and connects advances in AI with practical healthcare requirements, highlighting how explainability can support clinical reasoning, improve transparency, and strengthen confidence in AI-assisted decision-making. It encourages the development and responsible adoption of transparent, reliable, and clinically meaningful AI systems that can complement healthcare expertise and contribute to improved patient care. Key Features:Explores approaches for making AI-based healthcare predictions and recommendations more interpretable. Examines AI applications for identifying critical diseases and supporting timely clinical decisions. Discusses explainable approaches for predicting disease progression, outcomes, and patient risk. Highlights the role of AI in treatment planning, personalization, monitoring, and clinical decision support. Addresses transparency, fairness, privacy, ethics, security, and human-centered AI deployment. This book is for researchers, professionals and students interested in Critical Disease Management.