The advancement of smart healthcare technologies has transformed how medical services are delivered, monitored, and personalized. As these innovations improve patient outcomes, operational efficiency, and predictive care, they also raise critical ethical and sustainability concerns. Responsible innovation requires a balance between technological progress and the ethical, social, and environmental implications of intelligent tools. This includes ensuring data privacy, addressing algorithmic bias, promoting equitable access, and minimizing environmental impact. By integrating ethical sustainability practices into the design and usage of AI and IoT in healthcare, organizations can foster an inclusive, transparent, and resilient healthcare system. Responsible Innovation in Smart Healthcare: AI, IoT, and Ethical Sustainability Practices explores the integration of AI and IoT in smart healthcare systems, focusing on how these technologies improve care delivery and patient outcomes. It explains the importance of responsible innovation by addressing ethical, social, and environmental considerations to ensure sustainable and equitable healthcare solutions. This book covers topics such as machine learning, ethics and law, and patient monitoring, and is a useful resource for medical professionals, computer engineers, academicians, researchers, and scientists.