Artificial Intelligence (AI) is revolutionizing the field of biomedical engineering by offering innovative solutions to modern healthcare challenges. This book explores how AI algorithms are designed to support clinical decision-making, assist in diagnostics, and automate complex medical tasks with high precision. It covers a broad range of applications, including medical imaging, signal processing, robotics, and predictive analytics, demonstrating how AI enhances accuracy and efficiency in patient care. Real-world implementations in disease diagnosis, drug discovery, and intelligent health monitoring are discussed in detail. The book delves into advanced machine learning models for analyzing biological data, while also emphasizing the ethical considerations and regulatory frameworks necessary for safe AI deployment. Key technologies such as neural networks, deep learning, and natural language processing are explored in the context of healthcare. The role of wearable AI devices and biosensors in preventive medicine is also highlighted. This comprehensive volume bridges the disciplines of data science, engineering, and clinical practice, offering valuable insights into the development of intelligent biomedical systems. With detailed case studies and practical examples, it illustrates how AI-driven algorithms are actively preserving lives. Designed for researchers, engineers, clinicians, and students, this book serves as a critical guide to understanding and advancing the future of AI in medicine.