Explainable Artificial Intelligence (Biomedical and Robotics Healthcare)

Synopsis

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare.This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040020456

Related ISBNs:

9781032543703, 9781040020449, 9781003426073

Publisher:

CRC Press

Date of Addition:

04/23/24

Copyrighted By:

selection and editorial matter, Utku Kose, Nilgun Sengoz, Xi Chen and Jose Antonio Marmolejo Saucedo

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Utku Kose

Edited by:

Nilgun Sengoz

Edited by:

Xi Chen

Edited by:

Jose Antonio Saucedo