Artificial Intelligence Methods and Applications Enabling Healthcare 5.0

Dr. Abhinav Juneja is a Professor and Director, CRPC, at KIET Group of Institutions, Ghaziabad, India. He has over 24 years of experience teaching postgraduate and undergraduate engineering students. Dr. Juneja earned his Doctorate in Computer Science and Engineering from M.D. University, Rohtak, in 2018 and holds a Master's degree in Information Technology from GGSIPU, Delhi. His research interests include Software Reliability, IoT, Machine Learning, and Soft Computing. Dr. Juneja has published numerous papers in reputed national and international journals and has mentored several research-oriented projects for postgraduate and undergraduate students.Dr. Manish Bhardwaj is a Research Professor in the CSIT Department at the KIET Group of Institutions, Ghaziabad, India. He has 15 years of experience in teaching and research and development, specializing in Computer Science and Engineering. Dr. Bhardwaj received his Ph.D. from Dr. Abdul Kalam Technical University (AKTU), Lucknow, India, and completed his M.Tech in Computer Science and Engineering from SRM University, Chennai, India. His academic and research interests include Computer Science, Simulations, Mobile Ad Hoc Network Protocols, and Wireless Sensor Networks. He has published nearly 78 research papers in various international journals and conferences and has contributed to approximately 165 international conferences and journals as a General Chair, International Scientific Committee Member, Keynote Speaker, Reviewer (for Scopus-indexed journals and conferences), and Editorial Board Member. He is associated with several international organizations, including the Vinfuture Foundation (Vietnam), ASDF Foundation (United Kingdom), and Providence University (Taiwan). Dr. Bhardwaj has edited four books and contributed 25 book chapters for renowned publishers. Additionally, he has filed nearly 35 patents (31 national and 4 international).Dr. Samad Noeiaghdam is a Research Professor at the Institute of Mathematics, Henan Academy of Sciences, Zhengzhou, China, and a Professor of Applied Mathematics at Irkutsk National Research Technical University, Irkutsk, Russia. He has authored over 120 published papers in various fields, including numerical analysis, bio-mathematical models, fuzzy mathematics, numerical optimization, solving ill-posed problems, integral equations, differential equations, partial differential equations, MHD problems, and heat and mass transfer problems. Dr. Noeiaghdam is a member of the editorial and reviewer boards of several journals indexed by Web of Science (WOS) and Scopus.

• Section I: Foundations and Fundamentals. 1. Emerging Technologies in AI for Healthcare Systems. 2. AI Tools in the Health Care Industry. 3. Transforming Healthcare: The Role of Artificial Intelligence and IoT in Shaping the Future of Medicine. Section II: Core AI Technologies in Healthcare. 4. Deep Learning for Next Generation Healthcare. 5. Implications of Deep Learning in Cyber Threat Intelligence and Medical Imaging. 6. Natural Language Processing in Healthcare: Trends, Applications, and Future Directions. 7. Generative AI in Healthcare Systems: A New Frontier in Medical Technology. Section III: Advanced Computing Paradigms. 8. Green Cloud Computing and Artificial intelligence: new Generation in Innovative Healthcare. 9. AI/IoT/ML for Medical Science Service and Application. Section IV: Drug Discovery and Development. 10. Artificial Intelligence in Drug Discovery and Development. 11. The Role of AI in Drug Discovery. Section V: Clinical Applications and Diagnostics. 12. LLM-Driven Healthcare Analytics: Automating Queries and Enhancing Clinical Insight. 13. MediQuery: AI Reliable Medical Retrieval-Augmented Generation System. 14.Artificial Intelligence models in oral cancer risk management: Technology & Challenges. 15. Cancer Prediction Using Naïve Bayes Theorem. 16. Cancer Detection using Deep Learning. Section VII: Specialized Applications. 17. Health Impacts of Food Insecurity: Insights from Large-Scale Health Datasets. 18. SoundSync: Harnessing AI-Composed Music for Therapeutic Healing in Medical Care. Section VII: Future Perspectives and Human Development. 19. AI-Powered Soft Skills Development for Future Medical and Engineering Innovators.