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Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine (Analytics and AI for Healthcare) 1st Edition
by Mehul S Raval (Editor), Mohendra Roy (Editor), Tolga Kaya (Editor), Rupal Kapdi (Editor)
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1st edition (July 17, 2023)
Language 语言: English
pages 页数: 304 pages
ISBN-10 书号: 1032367113
ISBN-13 书号: 9781032367118
Book Description
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.
This book will benefit readers in the following ways:
Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care
Investigates bridges between computer scientists and physicians being built with XAI
Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent
Initiates discussions on human-AI relationships in health care
Unites learning for privacy preservation in health care
