Full Description
This book explores the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in transforming healthcare delivery. It provides a comprehensive overview of AIoT healthcare systems, covering concepts, architectures, applications, challenges, and future directions.
Transforming Healthcare with AI And IoT: Intelligent Solutions for a Digital Future delves into core AI and IoT concepts, it explores their integration in healthcare settings, and showcases real-world examples. Readers will gain valuable insights into how AI and IoT are already revolutionizing healthcare delivery, inspiring them with tangible examples of success. Through real-world case studies and practical insights, readers will learn how AI and IoT can optimize resource allocation, improve patient outcomes, and enhance overall system sustainability. It covers topics including big data analytics, personalized medicine, smart hospitals, telehealth and virtual care. The book also addresses ethical considerations, security concerns, and challenges in deploying AIoT healthcare systems.
The book is primarily written for professionals and researchers involved in healthcare management, information technology, and artificial intelligence. Additionally, undergraduate and graduate students studying healthcare technology, AI, or related fields would also find it invaluable.
Contents
Chapter 1 The Rise of Artificial Intelligence in Healthcare Chapter 2 Smart Hospitals and IoT-based Healthcare automation Chapter 3 Machine Learning Approaches for Air Quality Index(AQI) Prediction: A Comparative Study Chapter 4 FLAME: A Federated Learning Adaptive Multi-Modal Edge Framework for Real-Time Healthcare Decision Support Systems Chapter 5 Edge Computing in Healthcare: Enhancing Efficiency and Patient Care Chapter 6 Adversarial Intelligence in Healthcare: Enhancing Alzheimer's Diagnosis through AI-Driven Innovations Chapter 7 Sustainable Healthcare Transformation: The Role of AI and IoT in Environmental Efficiency Chapter 8 An IoT-based model for Air Quality monitoring to enable Telehealth for Asthma patients: facilitating a way to Healthcare 5.0 Chapter 9 Advancements in Generative Adversarial Networks for Synthetic Data Generation: A Comprehensive Analysis Chapter 10 Using Strategic Operational Research Models for AI-Augmented Healthcare Logistics, Accessibility, and Cost-Cutting Projects Chapter 11 Cloud Computing: A Practical Framework for Smart City Development as Future Perspective Chapter 12 Advances in Brain Tumor Segmentation Using Transformer Models Chapter 13 Enhancing EEG-Based Brain Attack Detection using a Hybrid Genetic Random Forest Classifier Chapter 14 A model utilizing stacking classifiers for identifying heart irregularities and forecasting cardiovascular disease Chapter 15 Role of Machine Learning and Deep Learning in Medical Decision Making Chapter 16 Applications of Medical Images and Diagnostics Chapter 17 AI and IOT integration for Remote Patient Monitoring
