Advances in Artificial Intelligence and Smart Computing for Healthcare

By Akshansh Gupta, this book delves into the latest developments in artificial intelligence, smart computing, and their applications in enhancing medical and healthcare systems. It serves as a comprehensive reference for graduate students and researchers in various engineering fields, including electrical, electronics and communication, computer, and biomedical engineering.

Key Features

• Architecture, Characteristics, and Applications in Healthcare Systems: The book provides in-depth insights into the architecture, characteristics, and applications of artificial intelligence and smart computing in healthcare systems.
• Privacy Issues in Healthcare and Health Informatics: It highlights the privacy issues faced in healthcare and health informatics using artificial intelligence and smart computing technologies.
• Nature-Inspired Computing Algorithms: The book discusses nature-inspired computing algorithms, such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms, to study brain-computer interfaces.
• Graph Neural Network Applications in Medicine: It covers the applications of graph neural networks in the medical domain, providing valuable insights into the field.
• Emerging Technologies in Healthcare: This book offers insights into the state-of-the-art artificial intelligence and smart computing technologies that are enabling and emerging in the healthcare sector.

This comprehensive guide is essential for graduate students and academic researchers in electrical, electronics and communication, computer, and biomedical engineering fields. It serves as a reference text that explores recent advances and applications of artificial intelligence and smart technologies in healthcare, addressing privacy concerns and highlighting emerging technologies in the field.