Cloud Computing in Medical Imaging (Original PDF from Publisher)

Cloud Computing’s Vital Role in Modern Healthcare Infrastructure

Healthcare organizations today face a burgeoning demand for a comprehensive and adaptable healthcare experience. The infrastructure supporting clinical care delivery is expanding rapidly, with information technology (IT) emerging as a pivotal driving force behind this growth.

As healthcare providers increasingly rely on technology for clinical, administrative, and financial functions, IT departments are scaling up at an unprecedented rate to meet soaring demands. This surge in technology requirements, however, has been met with a parallel expansion in options for robust infrastructure for IT applications and data storage.

In recent years, cloud computing has taken center stage as the preferred platform for medical imaging and healthcare data management. The vast and scalable computing resources provided by cloud platforms empower researchers to efficiently process, store, and exchange vast quantities of medical data.

Cloud Computing in Medical Imaging: A State-of-the-Art Guide

The recently published book “Cloud Computing in Medical Imaging” comprehensively explores the latest advancements in cloud computing technologies, healthcare technologies, and services. This timely volume focuses on:

• Machine Learning Algorithms for Health Data Security: Harnessing advanced machine learning algorithms to safeguard sensitive medical data, ensuring privacy and confidentiality.

• Fog Computing in IoT-based Health Care: Integrating edge computing principles into healthcare IoT ecosystems, enabling real-time data processing and autonomous decision-making.

• Medical Imaging and Healthcare Applications Using Fog IoT Networks: Leveraging fog IoT networks to enhance the accessibility and efficiency of medical imaging and healthcare delivery, particularly in remote or resource-constrained areas.

• Diagnostic Imaging and Associated Services: Utilizing cloud computing to optimize diagnostic imaging workflows, facilitate data sharing among healthcare professionals, and improve patient outcomes.

• Image Steganography for Medical Informatics: Exploring novel techniques for securely embedding medical information within digital images, enabling covert data transmission and secure storage.

Advancing Research and Innovation in Healthcare IT

“Cloud Computing in Medical Imaging” is a valuable resource for researchers seeking to advance scientific knowledge in the burgeoning field of cloud computing in medical imaging, healthcare technologies, and services. It highlights current trends and challenges, presenting innovative techniques and their potential applications in biomedical analysis.

This authoritative volume fosters collaboration and knowledge sharing among researchers, healthcare professionals, and technology providers, ultimately driving the development of cutting-edge solutions that will further enhance the quality, accessibility, and efficiency of healthcare delivery.