Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (1st ed. 2021) (Studies in Computational Intelligence #914)

By: Arash Shaban-Nejad and Martin Michalowski and David L. Buckeridge

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Synopsis: This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

Book Quality:: Publisher Quality
ISBN-13:: 9783030533526
Related ISBNs:: 9783030533519
Publisher:: Springer International Publishing
Date of Addition:: 12/04/20
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Arash Shaban-Nejad
Edited by:: Martin Michalowski
Edited by:: David L. Buckeridge