Combining Visual Intelligence and Federated Learning in Healthcare - Image 1

£131.25

IGI Global Combining Visual Intelligence and Federated Learning in Healthcare

Name: Combining Visual Intelligence and Federated Learning in Healthcare
Brand: IGI Global
Price: 131.25 GBP
Availability: InStock

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Description

Explore the intersection of advanced technology and medical practice with Combining Visual Intelligence and Federated Learning in Smart Healthcare. Published by Medical Information Science Reference, this book addresses modern developments within the field of radiography and allied health professions. As healthcare systems move toward smarter digital solutions, understanding the role of visual intelligence and federated learning becomes important for practitioners and researchers. This text provides a focused look at how these specific technologies integrate into smart healthcare environments. It is designed for those working in medical and healthcare practitioner roles who need to stay informed about the technological shifts shaping the future of diagnostics and patient data management. By focusing on the practical application of these concepts, the book serves as a resource for professionals looking to understand the evolving landscape of medical technology.

Key Features

Focuses on the integration of visual intelligence within smart healthcare systems.

Covers the application of federated learning in medical environments.

Designed for professionals in radiography and allied health professions.

Published by Medical Information Science Reference for technical accuracy.

Addresses modern technological developments in medical and healthcare practice.

Product Specifications

Brand: IGI Global
Format: paperback
ASIN: B0FFN26KNH
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Allied Health Professions > Radiography
Domain: Amazon UK
Release Date: 11 August 2025
Listed Since: 26 June 2025

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IGI Global Combining Visual Intelligence and Federated Learning in Healthcare

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