Overview
The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios. Included chapters are contributed by experienced professionals and academicians who examine severe diseases, applications, models, tools, frameworks, case studies, applications, and best practices in Healthcare. This book integrates the medical domain with AI technology. It covers trending explainable AI, computer vision (CV), and IoT that facilitate automation for healthcare solutions and medical diagnostics. The primary focus on explainable AI uncovers the black box of deep learning and bridges the distance between medical professionals and technologists. IoT in Healthcare: provides a mechanism of image sensing and is helpful in surgical tools.
Full Product Details
Author: Bhoopesh Singh Bhati (Indian Ins of Inf Tech, India) ,
Dimple Tiwari (ABES Eng College, India) ,
Nitesh Singh Bhati (Galgotias Uni, India)
Publisher: Taylor & Francis Ltd
Imprint: CRC Press
Weight: 0.650kg
ISBN: 9781032821252
ISBN 10: 1032821256
Pages: 260
Publication Date: 08 September 2025
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Not yet available
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.
Author Information
Dr. Bhoopesh Singh Bhati is an Assistant Professor in Indian Institute of Information Technology Sonepat (Institution of National Importance) Under Ministry of Education, Government of India. He received his Ph.D. (Computer and Engineering) from the University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University Delhi, in 2020. Dr. Bhati has published various research papers in highly reputed, SSCI/SCI/SCIE‐indexed journals including Elsevier, Wiley, Springer, Inderscience, etc. He is a recognized/active reviewer for various reputed journals of IEEE, Elsevier, Wiley, Springer etc. Dr. Bhati has an h‐index of 13 and an i10 index of 14. Dr. Dimple Tiwari is an Assistant Professor at the School of Engineering & Technology, Vivekananda Institute of Professional Studies ‐ Technical Campus, Delhi, India. She received her Ph.D. (Computer and Engineering) from the University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University Delhi, in 2023. Dr. Tiwari has published various research papers in highly reputed, SSCI/SCI/SCIE-indexed journals including Elsevier, Wiley, Springer, Inder science, etc. She is a recognized/active reviewer for various reputed journals of IEEE, Elsevier, Wiley, Springer etc. Dr. Nitesh Singh Bhati is an Assistant Professor in the School of ICT, Department of Computer Science and Engineering at Gautam Buddha University, Greater Noida, UP, India. He holds a B.Tech from UPTU Lucknow, M.Tech, and Ph.D. in Computer Science and Engineering from GGSIPU, New Delhi. He has more than 8 years of teaching experience. His research interests focus on Information Security, Machine Learning & Artificial Intelligence, where he has contributed to advancing knowledge and solutions in the field. He has published various research papers in reputed journals. Dr. Bhati is an active reviewer for various reputed journals, further enhancing his involvement in the academic community.
