Explainable Artificial Intelligence for Biomedical Applications

Artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems, but advanced use of artificial intelligence causes intelligent systems to be black-box. This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications, including introductive perspectives, applied touches, and discussions regarding critical problems and future insights. It is ideal for academicians, researchers, students, engineers, and experts from the fields of computer science, biomedical, medical, and health sciences, and can be used for both teaching and reference source purposes.

Format: Hardback
Length: 380 pages
Publication date: 14 December 2023
Publisher: River Publishers

Since the advent of artificial intelligence, it has been delivering groundbreaking solutions to real-world problems. At present, it has deep connections with the biomedical field, and today's intelligent systems rival human capabilities in medical tasks. However, the advanced use of artificial intelligence often leads to the black-box nature of intelligent systems, which poses challenges in building trustworthy systems for medical applications.

For a considerable period, researchers have been striving to address the black-box issue by incorporating modular additions, giving rise to the term "interpretable artificial intelligence." As the literature evolved, particularly with the rise of deep learning, this term transformed into "explainable artificial intelligence" (XAI).

This book serves as a vital edited collection on the latest advancements in XAI for biomedical applications. It encompasses not only introductory perspectives but also practical insights and discussions on critical problems and future perspectives. The book covers various topics, including:

XAI for medical image applications
XAI use cases for alternative medical data and tasks
Different XAI methods for biomedical applications
Reviews of XAI research for critical biomedical problems

Explainable Artificial Intelligence for Biomedical Applications is a valuable resource for academicians, researchers, students, engineers, and experts from computer science, biomedical, medical, and health sciences. It also welcomes readers from various fields to gain an understanding of XAI's applications in black-box artificial intelligence. In this sense, the book can be utilized for both teaching and reference purposes.

Weight: 940g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770228497