Cloud Computing in Medical Imaging is an essential guide for healthcare professionals, researchers, and IT personnel who want to explore the potential of cloud computing in the field of medical imaging and healthcare technologies. Written by Ayman El-Baz and Jasjit S. Suri, this book delves into the latest techniques and trends in cloud computing and how they can revolutionize the healthcare industry.

The healthcare sector is constantly evolving, and technology plays a crucial role in supporting clinical care delivery. With the increasing reliance on technology for administrative, financial, and clinical functions, healthcare organizations need robust IT infrastructure. Cloud computing has emerged as a game-changer in this regard, offering scalable and reliable solutions for storing and processing large quantities of medical data.

Cloud Computing in Medical Imaging explores the diverse applications of cloud computing in healthcare, with a specific focus on medical imaging. The book covers a wide range of topics, including machine-learning algorithms for health data security, fog computing in IoT-based healthcare, diagnostic imaging and associated services, and image steganography for medical informatics.

One of the highlights of this book is its emphasis on cutting-edge technologies like fog computing. Fog computing leverages the power of IoT devices and edge computing to provide real-time data processing and analysis. The authors discuss how fog computing can be applied to healthcare, enabling faster and more efficient healthcare services delivery. This is especially important in remote and underserved areas where access to healthcare resources is limited.

The authors also delve into the security aspect of cloud computing in medical imaging. With the proliferation of sensitive healthcare data, ensuring data security and privacy is of paramount importance. The book explores machine-learning algorithms that can enhance data security, protecting patient privacy while enabling seamless data exchange and collaboration among healthcare professionals.

Cloud Computing in Medical Imaging goes beyond theoretical discussions and provides practical insights into the implementation of cloud-based solutions in healthcare settings. The book showcases real-world examples and case studies that illustrate the benefits and challenges of adopting cloud computing in medical imaging. The authors also discuss the regulatory and ethical considerations associated with cloud-based healthcare solutions.

What sets this book apart is its multidisciplinary approach. The authors integrate knowledge from various domains, including healthcare, computer science, and engineering, to provide a comprehensive understanding of cloud computing in medical imaging. This interdisciplinary perspective is valuable for researchers, healthcare professionals, and IT personnel, as it facilitates collaboration and cross-pollination of ideas.

Cloud Computing in Medical Imaging is written in a clear and accessible manner, making it suitable for both beginners and experts in the field. The book is well-structured, with each chapter building upon the previous one. The authors provide ample illustrations, diagrams, and examples to aid understanding and ensure that readers can grasp the concepts easily.

In conclusion, Cloud Computing in Medical Imaging is an indispensable resource for anyone interested in leveraging the power of cloud computing in the healthcare industry. Whether you are a clinician looking to enhance diagnostic capabilities or an IT professional searching for innovative solutions, this book will provide you with invaluable insights and practical guidance. Order your copy today and embark on a journey to transform the future of healthcare with cloud computing!

Product Details

• Publisher: Auerbach Publications; 1st edition (March 14, 2023)
• Language: English
• eBook Digital: 278 pages
• ISBN-10: 0367702398
• ISBN-13: 978-0367702397