The book, Explainable AI in Healthcare Unboxing Machine Learning for Biomedicine combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate diagnostics and therapeutic and preventive health care automation. The particular focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML. It 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 primary, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.
This book benefits readers in the following ways:
About Editors
In Conversation with Shefali Naik, Assistant Professor, School of Engineering and Applied Science, Ahmedabad University
* Will join online, and other editors will be at the bookstore.
Date: January 19, 2024
Time: 5:00 PM IST
Venue: Ahmedabad University Bookstore
University Centre, Central Campus