Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine

Mehul S. Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi

Research output: Book/ReportBookpeer-review

2 Citations (Scopus)

Abstract

This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on explainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.

Original languageEnglish
PublisherCRC Press
Number of pages304
ISBN (Electronic)9781000906394
ISBN (Print)9781032367118
DOIs
Publication statusPublished - 1 Jan 2023

Bibliographical note

Publisher Copyright:
© 2024 selection and editorial matter, Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi; individual chapters, the contributors.

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