Biomedical Data Analysis and Processing Using Explainable XAI and Responsive Artificial Intelligence RAI

This book PDF is perfect for those who love Technology & Engineering genre, written by Aditya Khamparia and published by Springer Nature which was released on 09 April 2022 with total hardcover pages 148. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Biomedical Data Analysis and Processing Using Explainable XAI and Responsive Artificial Intelligence RAI books below.

Biomedical Data Analysis and Processing Using Explainable XAI and Responsive Artificial Intelligence RAI

Author	: Aditya Khamparia
File Size	: 48,6 Mb
Publisher	: Springer Nature
Language	: English
Release Date	: 09 April 2022
ISBN	: 9789811914768
Pages	: 148 pages

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Biomedical Data Analysis and Processing Using Explainable XAI and Responsive Artificial Intelligence RAI by Aditya Khamparia Book PDF Summary

The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.

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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.

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The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical Presents explainable artificial intelligence (XAI) based

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