Artificial intelligence (AI) has become a transformative force in modern healthcare, reshaping the ways medical data are analyzed, clinical decisions are supported, and healthcare professionals are trained. Advances in machine learning, medical imaging, robotics, and intelligent systems have enabled new approaches to diagnosis, treatment, and healthcare service delivery. At the same time, the increasing complexity of healthcare technologies has highlighted the importance of interactive systems, human-centered design, and effective educational frameworks to ensure their safe, ethical, and meaningful adoption.
AI-Driven Healthcare Technologies and Interactive Systems for Medical Education explores the interdisciplinary landscape of AI-driven healthcare technologies, with a particular focus on interactive systems, and their impact on medical education. By bringing together perspectives from AI, biomedical engineering, human–computer interaction, design, and educational technology, the book examines both the technical foundations and the applied dimensions of intelligent healthcare systems. Covering topics such as clinical training, immersive systems, and wearable sensor systems, this book is an excellent academic resource for graduate and doctoral students, healthcare professionals, engineers, instructional designers, and more.