Smart and Sustainable Healthcare Systems: From Algorithms to Patient Outcomes addresses the transformative evolution in healthcare driven by artificial intelligence, machine learning, telemedicine, and digital health technologies. This reference responds to the growing need for sustainable, personalized, and efficient healthcare delivery by bridging technical innovation with clinical application across diverse medical and engineering disciplines. The content spans intelligent decision support systems, IoT and wearable technologies, secure electronic medical records, telemedicine solutions, and automation in diagnostics and treatment. The book includes detailed chapters on AI in clinical pathways, predictive healthcare analytics, brain tumor classification, and sustainable telehealth innovations, complemented by real-world case studies and future outlooks. This reference benefits researchers, healthcare engineers, clinicians, and policymakers by providing in-depth exploration of emerging technologies, challenges, and practical solutions in Healthcare 4.0. It promotes sustainable healthcare practices, ethical AI use, and advances in telemedicine, equipping professionals with knowledge to design and implement intelligent healthcare systems that enhance patient care and resource efficiency.Emphasizes sustainable and eco-friendly healthcare technologiesExplores AI and machine learning integration in clinical and telehealth systemsProvides real-world case studies illustrating smart healthcare challenges and solutionsHighlights trends and innovations shaping Healthcare 4.0Offers guidance for implementing secure, personalized electronic medical records

Smart and Sustainable Healthcare Systems: From Algorithms to Patient Outcomes addresses the transformative evolution in healthcare driven by artificial intelligence, machine learning, telemedicine, and digital health technologies. This reference responds to the growing need for sustainable, personalized, and efficient healthcare delivery by bridging technical innovation with clinical application across diverse medical and engineering disciplines. The content spans intelligent decision support systems, IoT and wearable technologies, secure electronic medical records, telemedicine solutions, and automation in diagnostics and treatment. The book includes detailed chapters on AI in clinical pathways, predictive healthcare analytics, brain tumor classification, and sustainable telehealth innovations, complemented by real-world case studies and future outlooks. This reference benefits researchers, healthcare engineers, clinicians, and policymakers by providing in-depth exploration of emerging technologies, challenges, and practical solutions in Healthcare 4.0. It promotes sustainable healthcare practices, ethical AI use, and advances in telemedicine, equipping professionals with knowledge to design and implement intelligent healthcare systems that enhance patient care and resource efficiency.Emphasizes sustainable and eco-friendly healthcare technologiesExplores AI and machine learning integration in clinical and telehealth systemsProvides real-world case studies illustrating smart healthcare challenges and solutionsHighlights trends and innovations shaping Healthcare 4.0Offers guidance for implementing secure, personalized electronic medical records