This book is an essential resource on the impact of AI in healthcare systems, helping readers stay ahead of the curve in the modern era with cutting-edge solutions, knowledge, and real-world case studies.
Managing Healthcare with AI Technologies explores the complex ways that machine learning and the Internet of Things (IoT) are woven into the fabric of healthcare solutions. From smart wearables that track vital signs in real time to machine learning-based diagnostic tools that provide accurate predictions, readers will gain insights into how these technologies are continuously transforming healthcare.
The book begins by exploring the fundamentals of machine learning and the Internet of Things, providing readers with a thorough understanding of the key concepts. Through clear and concise explanations, readers will understand the complexities of the algorithms that power predictive analytics, disease diagnosis, and personalized treatment recommendations. In parallel, they will explore the role of IoT devices in collecting the data that feeds these intelligent systems and bridges the gap between patients and physicians.
In subsequent chapters, readers will delve into case studies and real-world success stories that demonstrate the tangible benefits of this dynamic duality. This book is not merely a technical description; it serves as a roadmap for healthcare professionals and anyone investing in the future of healthcare.
Readers will find this book to:
Explore how AI is transforming diagnosis, treatment, and healthcare delivery, and offer cutting-edge solutions to modern healthcare challenges;
Provide practical knowledge on implementing AI in healthcare settings, increasing efficiency and patient outcomes;
Provide authoritative insights into current AI trends and future advancements in healthcare;
Provide case studies and real-world examples that demonstrate successful integrations of AI in various medical fields.
