Revolutionizing Healthcare 5.0: The Power of Generative AI
Springer International Publishing (Verlag)
978-3-031-75770-9 (ISBN)
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This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint-coupled with case studies, statistical analyses, and expert insights-the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and 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.
| Erscheint lt. Verlag | 9.2.2025 |
|---|---|
| Reihe/Serie | Studies in Systems, Decision and Control |
| Zusatzinfo | IX, 476 p. 165 illus., 131 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Technik | |
| Schlagworte | AI drug discovery • Data analytics value-based care • Deep learning clinical applications • Digital Health Innovation • Generative AI in healthcare • Healthcare 5.0 AI transformation • Machine Learning in Medicine • Synthetic medical data |
| ISBN-10 | 3-031-75770-X / 303175770X |
| ISBN-13 | 978-3-031-75770-9 / 9783031757709 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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