Revolutionizing Healthcare 5.0: The Power of Generative AI

Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an associate professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or co-authored more than 130 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. He is a recipient of nine Best Paper Awards from Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a reviewer of 25 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), and WPC (Springer).

Haipeng Liu received his Bachelor and Master in Engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. He is the author of over 60 journal articles and 10 conference papers. His research interests include computational modelling of cardiovascular system, physiological measurement and biosignal processing, wearable nanosensor development and healthcare application, and AI-assisted diagnostics. He has a prolific profile with an H-index of 18 and i10-index of 26.

Dr. Pushan Kumar Dutta is an Assistant Professor Grade III at Amity University Kolkata, specializing in Electronics and Communication Engineering. With a Ph.D. in Electronics and Tele- Communication Engineering  from Jadavpur University and Post Doctorate, Erasmus Mundus Scholar, European Union Leaders Program with full Scholarship, University of Oradea, 2015-2016, Dr. Dutta has established himself as a prominent researcher and educator in his field. His research interests span data mining, AI, edge computing, and predictive analytics, with a focus on applications in smart cities, healthcare, and sustainable development. Dr. Dutta's scholarly contributions include over 108 articles in Scopus-indexed journals and conferences, as well as numerous IEEE Xplore and Springer Lecture Notes publications. A prolific editor, Dr. Dutta has curated 30+ books for prestigious publishers in 2023-24 such as Springer, IET,  Elsevier, Emerald Publishers,  IGI Global, Bentham Publisher, River Publisher, Degruyter, apple academic press and Routledge and Taylor and Francis. He is managing  a book series in CRC on Sustainable Industrial Engineering systems.  This expertise has earned him recognition as a reviewer for leading academic publishers. Dr. Dutta's achievements include mentoring award-winning students, receiving the 'Mentor of Change' recognition from NITI Aayog and young faculty award, and delivering keynote speeches at international conferences. His commitment to innovative teaching and learning is evident through his copyrighted work titled 'Innovative Digital Teaching and Learning for Professional Readiness' and he has also published two Indian patents. He is a Threws  Fellow member, a senior member at Indian Institute of Engineering(India) and participated to win an International White paper contest on Johnson Control. 

Joel J. P. C. Rodrigues [S'01, M'06, SM'06, F'20] is a professor at the Federal University of Piauí (UFPI), Brazil, and senior researcher at the Instituto de Telecomunicações, Portugal. He received the Academic Title of Aggregated Professor in informatics engineering from UBI, the Habilitation in computer science and engineering from the University of Haute Alsace

The emerging healthcare landscape.- AI for Healthcare 5.0: A shift towards personalized healthcare.- Transition to Generative AI in Healthcare 5.0.- Drug Synthesis through Generative AI Models.- Generative AI for Data Augmentation in Clinical Trials .- Generative AI models for Personalized Healthcare .- Generative Deep Models for Medical Imaging.- Generative AI-driven fitness and real-time healthcare monitoring and control.- The future of Surgery and Anatomical Operations via Generative AI.- Generative models for AR/VR assisted Healthcare 5.0.- Accuracy and Reliability of Synthetic Data Generation.