Special Session on
Role of AI in Healthcare Analytics, Precision Diagnosis, and Clinical Verification
Aim and Scope
The intersection of Artificial Intelligence (AI) and healthcare analytics presents transformative opportunities for enhancing the accuracy, efficiency, and effectiveness of healthcare delivery. This special session will explore the critical role that AI technologies play in advancing healthcare analytics, precise medical diagnosis, and robust verification processes. The primary objective is to investigate innovative AI-driven approaches that enable the healthcare industry to manage data effectively, improve diagnostic accuracy, streamline verification methods, and deliver personalized patient care.
This session invites contributions addressing theoretical advancements, practical implementations, and real-world case studies demonstrating how AI can transform healthcare analytics through machine learning, deep learning, and data mining techniques. Research focusing on predictive analytics, medical imaging diagnostics, disease identification, clinical decision-support systems, and trustworthy AI verification strategies are highly encouraged. Particular interest will be given to studies emphasizing the interpretability and ethical considerations of deploying AI in healthcare.
Topics of interest include, but are not limited to:
- AI-driven healthcare data analytics and predictive modeling
- Machine Learning and Deep Learning methods for diagnostic precision
- Verification and validation of AI models in clinical settings
- Explainable AI (XAI) for transparent healthcare decision-making
- Ethical implications and responsible AI in healthcare analytics
- Generative AI applications for medical imaging and diagnostics
- AI-enabled IoT for remote patient monitoring and diagnostics
- Blockchain and AI integration for secure health record verification
- Quantum computing applications in healthcare data analysis and diagnostics
Paper Submission
Potential authors may submit their manuscripts for presentation consideration through ICETCI 2025 submission system electronically at https://edas.info/N33232 , following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.
Important Dates
| Last Date for Paper Submission | Apr 15, 2025 |
| Final Notification of Review Outcomes | Jun 15, 2025 |
| Submission of Final Paper | Jun 30, 2025 |
Organizers
Dr. Ashwini Rao serves as the Head of the Department of Information Technology at the Mukesh Patel School of Technology Management & Engineering (MPSTME), NMIMS University, Mumbai. With a robust academic background of around 20+ years and extensive experience in Information Technology domain, Dr. Rao has significantly contributed to both academia and industry.
Her research interests lie in cutting-edge areas such as Sentiment Analysis, Web Mining, and Social Media Analytics, where she has published extensively, advancing both theoretical knowledge and practical applications. Dr. Rao's work in these areas has had a profound impact on the development of new methodologies and tools that leverage big data for improved decision-making and insights. In addition to her research, Dr. Rao is a dedicated mentor and educator. She is currently guiding three Ph.D. scholars, nurturing the next generation of researchers and leaders in Information Technology. Through her guidance, she empowers students to explore innovative ideas, pushing the boundaries of what is possible in their respective fields.
Dr. Rao's unwavering commitment to excellence in education, research, and innovation continues to inspire students, faculty, and peers. Her leadership and contributions reinforce the department's reputation for fostering an environment that champions growth, creativity, and technological advancement.
Email ID: ashwini.rao@nmims.eduDr. Santosh Chapaneri is a Lead Data Scientist at Wolters Kluwer developing healthcare solutions using Generative AI. He received PhD degree from University of Mumbai (India) and M.S. degree from University of Arizona (USA). He has published over 50 papers in peer-reviewed journals and conferences and has 350+ citations till date. Earlier, he worked as a Software Developer at Patni Computer Systems Ltd., Mumbai, India and at Microsoft Corporation, Seattle, USA. At Patni Computers, he was involved in the Research and Development related to video codecs and was responsible for client interaction and preparing client deliverables. At Microsoft, he was a Software Developer for various components of Windows Photos and also handled the localization of the product. He has also an academic experience of 10+ years delivering courses and mentoring projects for under-graduate and post-graduate students at the University of Mumbai. His research areas include Generative AI, Machine Learning and Signal Processing. He is a reviewer for IEEE Access, IET Communications, IET Computer Vision, IET Electronics Letters, IET Signal Processing, and IET Transactions on Image Processing.
Email ID: esantoshchapaneri@gmail.com
Dr. Vikram Kulkarni is an Associate Professor in the Department of Information Technology at SVKM’s NMIMS University, Mumbai, and a Senior Member of IEEE. With over 16.5 years of academic and research experience, he specializes in Artificial Intelligence, Smart Grid Communications, Machine Learning, Renewable Energy Forecasting, and Wireless Sensor Networks. He earned his Ph.D. from VIT University, India (2019) in Smart Grid Communications and Wireless Sensor Networks. His research contributions include 45+ peer-reviewed publications, 2 Australian patents on IoT, and the supervision of three Ph.D. scholars.
Dr. Kulkarni actively engages in editorial and conference organization roles. He is a Guest Editor and Topic Editor for Frontiers in Artificial Intelligence (Q2, WoS, Scopus) and Frontiers in Energy Research (Q2, SCI-E, IF 3.2), leading special issues on AI in Smart Grids and Renewable Energy Forecasting. Additionally, he serves as an Associate Editor for Frontiers in Psychiatry (Q1, SCI-E, IF 3.2). His leadership extends to organizing special sessions at IEEE SETCOM-2025 and co-organizing special sessions on Sustainable Energy Management at IEEE IITCEE-2023.
Recognized for his contributions, Dr. Kulkarni was honored with the "Most Influential Professor" award at the 31st Business School Affaire & Dewang Mehta National Education Leadership Awards (2024). He was also acknowledged as a Top Reviewer at the IEEE Bombay Section Signature Conference (IBSSC-2022) and continues to serve as a reviewer for leading IEEE, Springer, and Frontiers journals. He is a sought-after guest speaker at faculty development programs (FDPs) and international conferences, focusing on AI applications for Smart Grids, Energy Management, and Cybersecurity.
Email ID: Vikram.Kulkarni@nmims.edu
Dr. Saurav Verma is an Assistant Professor (Senior) in the Department of Information Technology at the Mukesh Patel School of Technology Management & Engineering (MPSTME), NMIMS University, Mumbai. He specializes in Quantum Machine Learning, Artificial Intelligence, Machine Learning, Internet of Things (IoT), Security, and Signal Processing. His research contributions include 20+ peer-reviewed publications, with his work receiving over 590 citations. He is currently guiding one research scholar and continues to contribute significantly to his field. His leadership extends to organizing special sessions at ICDAM-2025.
Dr. Verma has played a key role in international academic conferences, serving as Workshop Chair at the CIoTSC 2023, China and as a Keynote Speaker at the INCODTRIN 2022 Quito, Ecuador. His expertise and influence in the field have earned him recognition among the Top 300 Computer Science Professionals globally on LinkedIn. Additionally, he has been honored for his contributions to the field and continues to serve as a reviewer for IEEE Transactions on Consumer Electronics and multiple Springer conferences. Beyond research, Dr. Verma is deeply committed to teaching and mentoring students, helping them navigate the rapidly evolving landscape of Information Technology. His work bridges the gap between academia and industry, showcasing his dedication to technological advancements and education.
Email ID: saurav.verma@nmims.edu