Introduction
Advanced Computing Solutions for Healthcare explores the transformative integration of advanced computing technologies into healthcare systems, emphasizing innovation in patient care, diagnostics, and health monitoring. Spanning 22 chapters, it covers topics such as artificial intelligence, machine learning, IoT, data science, and wearable technologies. The book bridges theoretical concepts and practical applications, featuring neuromorphic computing, IoT for healthcare, AI-driven diagnostics, 5G in medicine, augmented reality, and mathematical modeling. It highlights real-world case studies and cutting-edge methodologies, including FPGA-based accelerators, deep learning models for disease classification, and assistive technologies for inclusivity.
Key Features:
- - AI and machine learning applications in diagnostics and personalized care.
- - IoT, wearable technologies, and 5G for real-time health monitoring.
- - Data science techniques for predictive analytics and secure data management.
- - Case studies on emerging technologies like augmented reality and federated learning.
- - Ethical considerations and challenges in healthcare technology integration.
Readership
Researchers, healthcare professionals, technology developers, educators, and students in biomedical engineering, computer science, and healthcare management.