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Explainable Artificial Intelligence for Biomedical Applications

By: (Edited by) Deepak Gupta , (Edited by) Utku Kose , (Edited by) Xi Chen

Manufacture on Demand

Ksh 20,700.00

Format: Hardback or Cased Book

ISBN-10: 8770228493

ISBN-13: 9788770228497

Series: River Publishers Series in Biomedical Engineering

Publisher: River Publishers

Imprint: River Publishers

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 14th, 2023

Print length: 380 Pages

Weight: 848 grams

Dimensions (height x width x thickness): 16.10 x 24.30 x 2.70 cms

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  • Description

  • Reviews

This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications.

Since its first appearance, artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point, it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However, advanced use of artificial intelligence causes intelligent systems to be black-box. That situation is not good for building trustworthy intelligent systems in medical applications. For a remarkable amount of time, researchers have tried to solve the black-box issue by using modular additions, which have led to the rise of the term: interpretable artificial intelligence. As the literature matured (as a result of, in particular, deep learning), that term transformed into explainable artificial intelligence (XAI).

This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications. It includes not only introductive perspectives but also applied touches and discussions regarding critical problems as well as future insights.

Topics discussed in the book include:

  • XAI for the applications with medical images
  • XAI use cases for alternative medical data/task
  • Different XAI methods for biomedical applications
  • Reviews for the XAI research for critical biomedical problems.

Explainable Artificial Intelligence for Biomedical Applications is ideal for academicians, researchers, students, engineers, and experts from the fields of computer science, biomedical, medical, and health sciences. It also welcomes all readers of different fields to be informed about use cases of XAI in black-box artificial intelligence. In this sense, the book can be used for both teaching and reference source purposes.


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