Book Talk: Explainable AI in Healthcare
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:
- Explores state of the art in computer vision and deep learning to develop autonomous or semi-autonomous algorithms for diagnosis in health care.
- Investigates bridges between computer scientists and physicians being built with XAI.
- Focuses on how data analysis provides the rationale to deal with healthcare challenges and make decision-making more transparent.
- Initiates discussions on human-AI relationships in health care.
- Unites learning for privacy preservation in health care.
About Editors
- Mehul Raval, Professor, School of Engineering and Applied Science and Associate Dean (Experiential Learning), Ahmedabad University .
- Mohendra Roy, Assistant Professor, ICT Department, School of Technology, Pandit Deendayal Energy University, Gandhinagar
- Tolga Kaya*, Professor of Computer Science and Engineering and Director of Engineering, Sacred Heart University, USA
- Rupal Kapdi, Assistant Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University
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
