Empowering Ai Applications In Smart Life And Environment

Empowering AI Applications in Smart Life and Environment

Empowering AI Applications in Smart Life and Environment

"Empowering AI Applications in Smart Life and Environment" provides a comprehensive exploration of how artificial intelligence (AI) can transform smart environments and contribute to sustainable living. It investigates the integrating of AI with visual, audio, and haptic devices that can revolutionize energy optimization, intelligent transportation, healthcare management, smart farming, and smart homes. The book aims to highlight the latest research and developments in AI applications that drive the enhancement of smart environments and sustainable life. The chapters are divided into two broad parts, the first part of this book discusses "Artificial Intelligence in Smart Systems, Environments and Security" inclusive of, but not limited to AI-based energy efficiency, object detection, defect detection in smart infrastructure, AI-driven IoT platforms, and strategies of machine learning for cybersecurity. The second part entitled "Artificial Intelligence in Smart Healthcare and Sustainability" shows how AI helps in the multi-class diagnosis of skin diseases, elderly care, and enhancement of post-consumer plastics recycling. This book is an intense exercise in learning about the various ways AI can make environments smarter, sustainable, and secure.

Artificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data