Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare - Softcover

Softcover

ISBN 10: 0443328625 ISBN 13: 9780443328626

Publisher: Academic Press, 2025

Synopsis

Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.

This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.

• Provides a wide range of coverage for various prediction and segmentation algorithms that are based on machine learning and deep learning technology
• Covers various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patients
• Highlights improvements in quality and efficiency of medical decision-making in the early detection of critical diseases using AI

About this title

About the Authors

Dr. Ashish Kumar, Ph.D., is working as an associate professor with Bennett University, Greater Noida, U.P., India till date. He has worked with Bharati Vidyapeeth’s College of Engineering (Affiliated to GGS Indraprastha University) from Aug 2009 to Jul 2022. He has completed his Ph.D. in Computer Science and Engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He received the Best Researcher award from the Delhi Technological University for his contribution to the computer vision domain. He has completed M. Tech with distinction in Computer Science and Engineering from GGS Indraprastha University, New Delhi. He has published more than 25 research papers in various reputed national and international journals and conferences. He has published 15+ book chapters in various Scopus-indexed books. He has authored/edited several books in AI, computer vision, and healthcare domains with reputed publishers. He is an active member of various international societies and clubs. He is a reviewer with many reputed journals and in the technical program committee of various national/ international conferences. Dr. Kumar also served as a session chair at many international and national conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Dr. Divya Singh is currently working as an assistant professor with the School of Computer Science Engineering and Technology, Bennett University, Greater Noida. She holds the degree of B.Tech in information technology and an M.Tech in Computer Science Engineering. She has completed Ph.D. degree in Computer Science Engineering and Technology from IIT, BHU, Varanasi. She has published research publications in various reputed international journals, conferences and patent. Her research interests include the areas of Image and Video Processing, Computer Vision, Artificial Intelligence (AI), Machine Learning and Deep learning.

From the Back Cover

“Revolutionizing Medical Systems using Artificial Intelligence” provides an overview of various machine learning and deep learning techniques addressing the needs of the patient and providing medical aid at an early stage of the disease. The book reviews, analyzes, and compare the different methodologies utilized for the prediction and detection of several diseases. In addition, it explores the possibility of deployment of these advancements in medical systems from paper to practice.
With the advent of technology, tele consultation, tele medicine, mobile health care it is now possible to provide the continuous monitoring of health of the user even in case of pandemic outbreak. This title emphasizes to fulfill the need of connected healthcare systems. In 15 chapters “Revolutionizing Medical Systems using Artificial Intelligence” introduces the reader to Artificial Intelligence in medical systems, provides insight into the role of Artificial Intelligence in the prognosis, diagnosis and analysis of several diseases and describes the paradigm shift from traditional to smart healthcare. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.


Key Feature:
• Provides a wide range of coverage for various prediction and segmentation algorithms, based on machine learning and deep learning technology.
• Gathers and bring together the various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patients.
• Highlights the improvement in quality and efficiency of medical decision for early detection of critical disease using AI

Edition details

• Publisher: Academic Press
• Publication date: 2025
• Language: English
• ISBN 10: 0443328625
• ISBN 13: 9780443328626
• Binding: Paperback
• Number of pages: 334
• Editor: Kumar