1st Edition

Explainable AI in Healthcare Unboxing Machine Learning for Biomedicine

Edited By Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi Copyright 2024
328 Pages 136 B/W Illustrations
by Chapman & Hall

328 Pages 136 B/W Illustrations
by Chapman & Hall

328 Pages 136 B/W Illustrations
by Chapman & Hall

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... Read more

1. Human–AI Relationship in Healthcare

Mukta Joshi, Nicola Pezzotti, and Jacob T. Browne

2. Deep Learning in Medical Image Analysis: Recent Models and Explainability

Swati Rai, Jignesh S. Bhatt, and Sarat Kumar Patra

3. An Overview of Functional Near-Infrared Spectroscopy and Explainable Artificial Intelligence in fNIRS

N. Sertac Artan

4. An Explainable Method for Image Registration with Applications in Medical Imaging

Srikrishnan Divakaran

5. State-of-the-Art Deep Learning Method and Its Explainability for Computerized Tomography Image Segmentation

Wing Keung Cheung

6. Interpretability of Segmentation and Overall Survival for Brain Tumors

Rupal Kapdi, Snehal Rajput, Mohendra Roy, and Mehul S Raval

7. Identification of MR Image Biomarkers in Brain Tumor Patients Using Machine Learning and Radiomics Features

Jayendra M. Bhalodiya

8. Explainable Artificial Intelligence in Breast Cancer Identification

Pooja Bidwai, Smita Khairnar, and Shilpa Gite

9. Interpretability of Self-Supervised Learning for Breast Cancer Image Analysis

Gitika Jha, Manashree Jhawar, Vedant Manelkar, Radhika Kotecha, Ashish Phophalia, and Komal Borisagar

10. Predictive Analytics in Hospital Readmission for Diabetes Risk Patients

Kaustubh V. Sakhare, Vibha Vyas, and Mousami Munot

11. Continuous Blood Glucose Monitoring Using Explainable AI Techniques

Ketan K. Lad and Maulin Joshi

12. Decision Support System for Facial Emotion-Based Progression Detection of Parkinson’s Patients

Bhakti Sonawane and Priyanka Sharma

13. Interpretable Machine Learning in Athletics for Injury Risk Prediction

Srishti Sharma, Mehul S Raval, Tolga Kaya, and Srikrishnan Divakaran

14. Federated Learning and Explainable AI in Healthcare

Anca Bucur, Francesca Manni, Aleksandr Bukharev, Shiva Moorthy, Nancy Irisarri Mendez, and Anshul Jain

Biography

Mehul S Raval, Associate Dean – Experiential Learning and Professor, School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, India Mohendra Roy, Assistant Professor, Information and Communication Technology Department, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India Tolga Kaya, , Professor and Director of Engineering Programs, Sacred Heart University, Fairfield, CT, USA Rupal Kapdi, Assistant Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India