Federated Learning and Privacy-Preserving in Healthcare AI

Federated Learning and Privacy-Preserving in Healthcare AI
Author :
Publisher : IGI Global
Total Pages : 373
Release :
ISBN-10 : 9798369318751
ISBN-13 :
Rating : 4/5 (51 Downloads)

Book Synopsis Federated Learning and Privacy-Preserving in Healthcare AI by : Lilhore, Umesh Kumar

Download or read book Federated Learning and Privacy-Preserving in Healthcare AI written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-05-02 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.


Federated Learning and Privacy-Preserving in Healthcare AI Related Books

Federated Learning and Privacy-Preserving in Healthcare AI
Language: en
Pages: 373
Authors: Lilhore, Umesh Kumar
Categories: Medical
Type: BOOK - Published: 2024-05-02 - Publisher: IGI Global

DOWNLOAD EBOOK

The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis a
Federated Learning
Language: en
Pages: 291
Authors: Qiang Yang
Categories: Computers
Type: BOOK - Published: 2020-11-25 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applicati
Federated Learning Systems
Language: en
Pages: 207
Authors: Muhammad Habib ur Rehman
Categories: Technology & Engineering
Type: BOOK - Published: 2021-06-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. Th
Multiple Perspectives on Artificial Intelligence in Healthcare
Language: en
Pages: 198
Authors: Mowafa Househ
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-05 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does
Artificial Intelligence in Medical Imaging
Language: en
Pages: 369
Authors: Erik R. Ranschaert
Categories: Medical
Type: BOOK - Published: 2019-01-29 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling rea