Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.
The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.
The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.
With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare.
- Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems
- Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases
- Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples
- Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare
- Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems
Dr. M.A. Ansari holds PhD degree on Signal and Imaging Processing from Indian Institute of Technology Roorkee. He has 18 years of experience in teaching and research. Currently he is Professor at School of Engineering, Gautam Buddha University, where he supervised 4 PhD and 63 MTech students to date. He authored several book chapters and published almost 30 peer-reviewed articles in international journals. Dr. Ansari main research interests are medical image coding, biomedical instrumentation and control, and digital signal and image processing.
R. S. Anand received the B.E., M.E., and Ph.D. degrees from the University of Roorkee, Roorkee, India, in 1985, 1987, and 1992, respectively.,He is currently a Professor with the Electrical Engineering Department, IIT Roorkee, Roorkee. He has authored or coauthored more than 200 research papers in journals and conferences. His current research interests include medical signal and image processing, ultrasonic nondestructive evaluation (NDE), medical diagnosis, and speech signal processing.,Dr. Anand is a Life Member of the Ultrasonic Society of India.
Pragati Tripathi received an M.Tech degree in power electronics from Gautam Buddha University, Greater Noida, India, in 2018. She is working as a Research Scholar with the School of Engineering, Gautam Buddha University. She has also been associated with IIT Delhi and served as a Research Associate with Sharda University, Greater Noida. Her research interests include signal processing, brain mapping, and neuroscience.
Rajat Mehrotra is an Assistant Professor in the Electrical & Electronics Engineering Department at GL Bajaj Institute of Technology & Management, Greater Noida, India. He received his BTech in Electrical and Electronics Engineering from the Dr. A.P.J. Abdul Kalam Technical University, Lucknow (Formerly UPTU), in 2008 and his MTech in Telecommunication Engineering from the same university, in 2014 and his PhD. in the field of Medical Image Processing. His research interests include digital image processing, biomedical imaging, and deep learning. Currently, he is involved in research with the School of Engineering at Gautam Buddha University, Greater Noida. He has published his research in various journals of international repute. He has more than 14 years of experience in teaching and research. He has also published multiple patents in his area of research.
Dr. Md Belal Bin Heyat is a distinguished researcher and academic whose work connects artificial intelligence, biomedical signal processing, and healthcare innovation. He completed his B.Tech in Electronics and Instrumentation (EI) and his M.Tech in Electronics Circuit and System (ECS) at Integral University, Lucknow, India, in 2014 and 2016, respectively. He later pursued his PhD in Electronic Science and Technology at the University of Electronic Science and Technology of China (UESTC), Chengdu, where he demonstrated remarkable academic and leadership excellence, winning nine prestigious awards and serving as a Research Associate, Vice-Chairman of the UESTC Country League, and Country Representative for India.
After his PhD, Dr. Heyat worked as a Postdoctoral Fellow at the IoT Research Centre, College of Computer Science and Software Engineering, Shenzhen University, China, from 2021 to 2023. He is currently a Postdoctoral Fellow at the CenBRAIN Neurotech Center of Excellence, Westlake University, China. Alongside this, he serves as a visiting postdoctoral researcher at the Center for Visual Information Technology (CVEST), IIIT Hyderabad, India, and as a faculty member in the Department of Science and Engineering at the Novel Global Community Educational Foundation, NSW, Australia.
Dr. Heyat’s interdisciplinary research focuses on applying AI to enhance disease detection and treatment, particularly in sleep disorders, neurological and psycho-neurological conditions, and cardiovascular health. He is also widely recognized for integrating Traditional Chinese Medicine concepts with modern AI-driven diagnostic systems for mental health care. With over 3500 citations and recognition as one of the Top
2% Scientists in the World (Stanford University Ranking), his work continues to make a profound impact on global healthcare research.
Beyond his scientific contributions, Dr. Heyat actively serves the academic community as a Guest Editor for renowned journals such as Life, Journal of Integrative Neuroscience, and Applied Sciences. He also reviews for major publishers, including Oxford University Press, IEEE, Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. With more than 100 publications in leading international journals and conferences and an h-index of 35, Dr. Heyat remains dedicated to advancing AI-powered healthcare and neuro-technology, striving to improve diagnostic precision and transform medical innovation worldwide.
