商品簡介
As artificial intelligence (AI) becomes increasingly embedded in modern healthcare, questions surrounding the privacy and security of patient health information have moved to the forefront of academic, clinical, and policy debates. While many argue that AI systems may expose sensitive medical data to new risks, others contend that advances in privacy-preserving technologies can enable healthcare innovation without compromising patient confidentiality. The growing use of AI in diagnosis, treatment planning, research, and health system management has therefore created a pressing need to balance the benefits of data-driven medicine with the protection of individual rights and public trust. As healthcare organizations adopt increasingly sophisticated AI tools, understanding how privacy, ethics, security, and governance can be integrated into intelligent healthcare systems has become an essential challenge for researchers, practitioners, and policymakers alike. Privacy-Preserving AI in Healthcare examines emerging technologies, governance frameworks, and practical strategies designed to advance artificial intelligence in healthcare while protecting patient privacy and data security. Bringing together theoretical perspectives, applied research, and real-world case studies, this book highlights how healthcare organizations can develop trustworthy AI systems that support clinical innovation, research collaboration, and improved patient outcomes. Covering topics such as telemedicine, patient data, and image transmission security, this book is an indispensable academic resource for graduate and doctoral students, healthcare informatics professionals, clinical informaticians, digital health specialists, physicians, hospital leaders, healthcare administrators, cybersecurity professionals, privacy engineers, information security specialists, policymakers, and more.
