Smarter Healthcare through Generative Intelligence

Vibha Jain is working as an assistant professor in the Department of Computer Science and Engineering at Thapar Institute of Engineering and Technology, Patiala (Punjab), India, since 2024. She completed her PhD in Computer Science and Engineering from the Netaji Subhas University of Technology, Delhi. She received a Gold Meda for her Master of Technology in Computer Science and Engineering from the National Institute of Technology, Hamirpur. She has more than 35 papers to her credit and has an interest in vast research domains, including Internet of Things, blockchain, edge/fog computing, and resource scheduling/allocation.Aditya Gupta has been serving as an assistant professor with the Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala (Punjab), India, since 2023. He receivedhis PhD in Computer Science and Engineering from Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, for his dissertation on “Design and Analysis of a Centric Intelligent Frameworks for Healthcare 4.0.” Hisresearch interests include healthcare informatics, predictive analytics, and cyber– physical systems. He has published various research papers in highimpact reputed international journals and completed centrally fundedresearch projects, jointly sponsored by the World Bank and the Ministry of Education (MoE), Government of India.Amritpal Singh has been serving as assistant professor in the Department of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. He received his PhD in Computer Science and Engineering from Thapar University, Patiala, India. He served both industry and academia. He has published many articles in journals of high repute. His research interests include probabilistic data structures, machine learning, and big data.Prabal Verma is currently an assistant professor in the Department of Information Technology at NIT Srinagar, India, with prior academic roles under TEQIP- III and at Thapar Institute of Engineering and Technology. Heholds a PhD in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, and has research interests in big data analytics, machine deep learning, and edge–cloud computing; he has published extensively inhigh-impact international journals and conferences by IEEE, Elsevier, Wiley, Taylor & Francis Group, and Springer. He serves as a reviewer and editorial board member for reputed SCI- indexed journals, led TEQIP-III projects, is currently executing a JKSTIC- funded project, and holds GATE, UGC- NET, and JKSET qualifications with high percentiles.Tawseef Ayoub is senior assistant professor in the Department of Computer Science and Engineering, National Institute of Technology (NIT), Srinagar, India. Before joining NIT Srinagar, he worked as an assistant professorin the CSE Department at Pandit Deen Dayal Energy University (PDEU), Gandhinagar, Gujarat. In addition, he worked as an assistant professor (TEQIP-III, NPIU, MHRD) in the Computer Science EngineeringDepartment, Baba Ghulam Shah Badshah University (BGSBU) Rajouri, Jammu & Kashmir, for three years. He was awarded a Visvesvaraya PhD fellowship from MeitY (Ministry of Electronics and Information Technology,Media Lab Asia, GoI), pursuing his PhD. He has been granted six fully funded projects from NPIU, MHRD, and JKSTIC, and all these projects have been completed. He has qualified for UGC NET, GATE, and JKSLET in Computer Science Engineering/ Applications. His research interests include biomedical data analytics, computer- aided diagnostics tools for precision medicine, healthcare informatics, pattern recognition, and machine intelligence. He has published various journal and conference papers, book chapters, etc. in reputed international publishing houses and has authored two books.

• 1. Introduction to Generative Intelligence in Healthcare 2. Fog Computing for Smart Healthcare 3. Generative Adversarial Network for Healthcare Data Augmentation and Bias Mitigation 4. MSQIGA: Multimodal Summarization with Quantum-Inspired Genetic Algorithm 5. Revolutionizing Healthcare: Designing Intelligent Chatbots with Natural Language Processing 6. Futuristic Machine Learning Modeling Approach to Predict Communication Disorders: Stammering Based on Temperaments of Children 7. Smart Strategies in Mental Health: Leveraging Generative Intelligence to Overcome Dataset Limitations in Emotional Well-Being Analysis 8. Leveraging Drug Synergism to Uncover Novel Drug Effects: A Literature Review 9. Evolution of Smart Health Technology for Neuropathic Foot Interventions 10. Ethical Considerations in AI-Driven Smart Healthcare: What Matters for Policy?