£152.00

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IGI Global Visual Intelligence & Federated Learning in Smart Healthcare

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£152.00 £144.40 £147.44 £150.48 £153.52 £156.56 £159.60 28 July 2026 13 August 2026 30 August 2026 15 September 2026 02 October 2026
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Description
This comprehensive resource explores the intersection of visual intelligence and federated learning technologies within modern healthcare systems. Designed for medical professionals, researchers, and healthcare practitioners, the book examines how advanced visual analytics and distributed machine learning approaches can improve diagnostic accuracy, patient outcomes, and data privacy across allied health professions including radiography. The work addresses critical challenges in healthcare data management whilst showcasing practical applications of federated learning frameworks that enable institutions to collaborate on visual intelligence models without compromising patient confidentiality. Ideal for radiography practitioners and healthcare IT professionals seeking to understand cutting-edge technologies transforming clinical decision-making and diagnostic imaging workflows.

Key Features

Published by IGI Global and Medical Information Science Reference, offering peer-reviewed research on healthcare technology integration.

Covers visual intelligence applications specifically relevant to radiography and medical imaging professionals.

Explores federated learning methodologies that maintain data privacy whilst enabling collaborative intelligence across healthcare institutions.

Addresses contemporary challenges in combining diagnostic imaging analytics with distributed machine learning approaches.

Suitable for allied health professionals, researchers, and healthcare practitioners developing or implementing smart healthcare solutions.

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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