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Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic accuracy, treatment efficiency, and patient monitoring, yet its true potential lies in systems that center human values. Human-Centered AI (HCAI) ensures that these technologies are transparent, fair, privacy-conscious, and responsive to both clinicians and patients. As healthcare increasingly relies on complex AI tools, maintaining human oversight is essential to foster trust, ethical integrity, and meaningful patient engagement. HCAI transforms not only the technical side of care but also reinforces compassion, dignity, and equity in health systems. Human-Centered AI Applications for Medical Informatics addresses the current and future applications of AI in health and medical informatics from a human-centered perspective. It illuminates not only the opportunities offered by technology, but also the ethical, social, and practical aspects of these opportunities. Covering topics such as blockchain, human psychology, and public perception, this book is an excellent resource for academicians, researchers, healthcare professionals, software developers, data scientists, industry professionals, and more.