Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine (Analytics and AI for Healthcare)

By: Mehul S Raval and Mohendra Roy and Tolga Kaya and Rupal Kapdi

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Synopsis: 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

Book Quality:: Publisher Quality
ISBN-13:: 9781000906400
Related ISBNs:: 9781032367118, 9781003333425, 9781032367125
Publisher:: CRC Press
Date of Addition:: 12/11/23
Copyrighted By:: selection and editorial matter, Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Mehul S Raval
Edited by:: Mohendra Roy
Edited by:: Tolga Kaya
Edited by:: Rupal Kapdi