Future of AI in Medical Imaging

• #1. Use of AI in Medical Image Processing
• #2. Internet of Things for Smart Healthcare: A Survey
• #3. Insightful Visions: How Medical Imaging Empowers Patient-Centric Healthcare
• #4. A Medical Comparative Study Evaluating Electrocardiogram Signal-Based Blood Pressure Estimation
• #5. Comparative Analysis of Machine Learning-Based Diabetes Prediction Approaches
• #6. Counterfeit Medicine Detection Using Blockchain Technology
• #7. Blockchain-Based Intelligent, Interactive Healthcare Systems
• #8. Impact of Machine Learning and Deep Learning Techniques in Autism
• #9. Web-Based Application for Physical to Digital ECG Signal Analysis for Cardiac Dysfunctions
• #10. Real-Time Symptomatic Disease Predictor Using Multi-Layer Perceptron
• #11. Mental Health Monitoring in the Digital Age: A Comprehensive Analysis
• #12. Emerging, Assistive, and Digital Technology in Telemedicine Systems
• #13. Lung Cancer Classification Using Deep Learning Hybrid Model
• #14. Advancing Healthcare: Economic Implications of Immediate MRI in Suspected Scaphoid Fractures - A Comprehensive Exploration
• #15. Digital Twin-Based Smart Healthcare Services for the Next Generation Society

Avinash Kumar Sharma currently working as Associate Professor, Department of Computer Science & Engineering, Sharda School of Engineering & Technology (SSET), Sharda University, Greater Noida. Dr. Avinash Kumar Sharma have completed Ph.D from Uttarakhand Technical University, Dehradun (A State Govt. University) in Cloud Computing. His research areas are Cloud Computing, Machine Learning, Smart Agriculture, Artificial Intelligence. He has more than 18 years of teaching experience. He has published about 40 research articles in national / international conferences, journals, and book chapters. Dr. Avinash Kumar Sharma edited 04 books with IGI Global, 01 book with Wiley and 01 authored book with BPB Publication. He has also published 05 patents including 01 design patent.

Nitin Chanderwal is currently working as an Associate Professor Educator-Full Time in the Department of Electrical and Computer Engineering at University of Cincinnati. In the past I have worked as Associate Professor-Full Time of Information Systems and Analytics at IIM Shillong, Meghalaya, INDIA. During his tenure at IIM Shillong he also served as Chairperson for the Areas: {(Information Systems and Analytics) & (IT Services and Website Committee)}. During 2017-2018, He has worked as Professor Educator in the Department of EECS at University of Cincinnati, OH and during 2010-2011 as First Tier Bank Professor in the Peter Kiewit Institute at University of Nebraska at Omaha, NE, USA. In July 2001, he received B.Engg. in Computer Science & Engineering [Hons.] from Dr. B.R. Ambedkar University, Agra and M.Engg. in Software Engineering from Thapar University, erstwhile Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, INDIA in March 2003. In September 2008, he received Ph.D. in Computer Science & Engineering from Jaypee University of Information Technology, INDIA and University of Florida (UF), Gainesville, FL, USA under student exchange program, specifically he has completed 12 credits course work from UF. In May 2013, he received D.Sc. in Computer Science & Engineering from Uttarakhand Technical University, Dehradun, INDIA. I completed partial research work of D.Sc. at University of Nebraska at Omaha (UNO), NE, USA. He is a IBM certified engineer, a Life Member of IAENG, Senior Member of IEEE, ACM & IACSIT and Member of SIAM and ACIS and have published 200+ Research Papers in peer reviewed International Journals & Transactions, Book Chapters, Symposium, Conferences and Position. He has bagged more than 50 academic and research awards. My research interest includes Blockchain Technology, Cyber Physical Systems, Big Data Analytics, Social Networks especially Computer Mediated Communications & Flaming, Interconnection Networks & Architecture, Fault-tolerance & Reliability, NoCs, SoCs, and NiPs, Application of Stable Matching Problems, Stochastic Communication and Sensor Networks. He has received 2 Indian Patents and 1 Australian Patent during 2020-2021. he is also an Associate Editor of the International Journal of Parallel, Emergent and Distributed Systems, Taylor and Francis, UK and IEEE Access, IEEE, USA.

Shobhit Tyagi is currently affiliated with Sharda University.

Prashant Upadhyay is an Assistant Professor at, the Department of CSE, School of Engineering and Technology, Sharda University Greater Noida, Uttar Pradesh, India. He is currently pursuing his postdoctoral research at National Kaohsiung University of Science and Technology. He received his doctorate of philosophy (PhD) in Computer Science and Engineering, from Gautam Buddha University, U.P. He received his M.Tech (CSE) from ABES Engineering College, U.P. He has done B.E. from Vindhya Institute of Technology and Science, M.P. He has more than 7 years of teaching and research experience. He published more than 45 research papers in internationally reputed journals indexed in Web of Science, SCOPUS & SCIE and top-rank conferences as author or co-author. His research findings are published in Archives of Computational Methods in Engineering Springer, Neural Computing and Application Springer, IGI Global USA, IEEE Xplore. He served as a TPC and reviewer in Various International Conferences. He is the Editor of Books: Enhancing Medical Imaging with Emerging Technologies, Future of AI in Medical Imaging, Digital Deception: Uncover the Dark Side of AI in Social Networking. He served as session chair in several international conferences- ICDT-2024, ICDETGT-2023, and ICDT-2023. He has authored a book for Wiley Publication- Introduction to Python, ISBN: 978-93-5746-219-8. He has published three Indian patents in the years 2022 and 23. His research area includes Computer Vision, NLP.