Addressing fairness in artificial intelligence for medical imaging

Name: Addressing fairness in artificial intelligence for medical imaging
Price: 9.99 USD
Availability: InStock
Author: Unknown Author
ISBN: 9783032058690

by Unknown Author

Springer Nature Switzerland AG · PublisherJanuary 1, 2026 · Published231 pagesEnglish9783032058690 · ISBN-133032058694 · ISBN-10PDF / EPUB

About this book

Addressing Fairness in Artificial Intelligence for Medical Imaging is the medical PDF ebook that equips readers with strategies to tackle biases in AI for medical imaging.

Delve into the chapters discussing 'Potential Sources of Biases' and 'Strategies to Mitigate Them' to understand the complexities of fairness in AI. This medical ebook PDF is a vital resource for those interested in medical data ethics and AI technology.

Authored by Unknown Author and published by Springer Nature Switzerland AG, this 231-page book is geared towards medical students, AI researchers, and healthcare professionals who need to integrate fairness into their AI systems.

This medical ebook PDF is available for instant download, no subscription required and no platform account needed. Compatible with laptops, tablets, and phones, it ensures easy access to vital information.

Download your copy now and gain immediate insights into addressing biases in medical imaging AI.

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