Have a personal or library account? Click to login
Generative artificial intelligence-driven medical digital twin technologies in blockchain Internet of Things wearable sensor and computer vision-based extended reality healthcare metaverse
Al-Hawawreh, M., & Hossain, M. S. (2025). A human-centered quantum machine learning framework for attack detection in IoT-based healthcare Industry 5.0. IEEE Internet of Things Journal. doi: 10.1109/JIOT.2025.3565687
Andronie, M., Lăzăroiu, G., Iatagan, M., Uță, C., Ștefănescu, R., & Cocoșatu, M. (2021). Artificial intelligencebased decision-making algorithms, Internet of Things sensing networks, and deep learning-assisted smart process management in cyber-physical production systems. Electronics, 10(20). doi: 10.3390/electronics10202497
Andronie, M., Lăzăroiu, G., Iatagan, M., Hurloiu, I., Ștefănescu, R., Dijmărescu, A., & Dijmărescu, I. (2023a). Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the Internet of Robotic Things. ISPRS International Journal of Geo-Information, 12(2), 35. doi: 10.3390/ijgi12020035
Andronie, M., Lăzăroiu, G., Karabolevski, O. L., Ștefănescu, R., Hurloiu, I., Dijmărescu, A., & Dijmărescu, I. (2023b). Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic Things. Electronics, 12(1), 22. doi: 10.3390/electronics12010022
Bhatia, M. (2024). An AI-enabled secure framework for enhanced elder healthcare. Engineering Applications of Artificial Intelligence, 131. doi: 10.1016/j.engappai.2023.107831
Bordukova, M., Makarov, N., Rodriguez-Esteban, R., Schmich, F., & Menden, M. P. (2024). Generative artificial intelligence empowers digital twins in drug discovery and clinical trials. Expert Opinion on Drug Discovery, 19(1), 33-42. doi:10.1080/17460441.2023.2273839
Bozkaya-Aras, E., Onel, T., Eriskin, L., & Karatas, M. (2025). Intelligent human activity recognition for healthcare digital twin. Internet of Things, 30. doi: 10.1016/j.iot.2025.101497
Brahmi, R., Boujnah, N., & Ejbali, R. (2024). Elaboration of innovative digital twin models for healthcare monitoring with 6G functionalities. IEEE Access, 12, 109608-109624. doi: 10.1109/ACCESS.2024.3439269
Cecconi, M., Greco, M., Shickel, B., Vincent, J.-L., & Bihorac, A. (2024). Artificial intelligence in acute medicine: a call to action. Critical Care, 28, 258. doi: 10.1186/s13054-024-05034-7
Chaddad, A., & Jiang, Y. (2025). Integrating technologies in the metaverse for enhanced healthcare and medical education. IEEE Transactions on Learning Technologies, 18, 216-229. doi: 10.1109/TLT.2025.3537802
Checcucci, E., Oing, C., Amparore, D., Porpiglia, F., & Rescigno, P. (2025). Digital twins in urological oncology: Precise treatment planning via complex modeling. European Urology Oncology, 8(1), 1-4. doi: 10.1016/j.euo.2024.10.005
Chen, J., Shi, Y., Yi, C., Du, H., Kang, J., & Niyato, D. (2024a). Generative-AI-driven human digital twin in IoT healthcare: A comprehensive survey. IEEE Internet of Things Journal, 11(21), 34749-34773. doi: 10.1109/JIOT.2024.3421918
Chen, J., Yi, C., Du, H., Niyato, D., Kang, J., & Cai, J. (2024b). A revolution of personalized healthcare: Enabling human digital twin with mobile AIGC. IEEE Network, 38(6), 234-242. doi: 10.1109/MNET.2024.3366560
De Domenico, M., Allegri, L., Caldarelli, G., d’Andrea, V., Di Camillo, B., Rocha, L. M., Rozum, J., Sbarbati, R., & Zambelli, F. (2025). Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. npj Digital Medicine, 8, 37. doi: 10.1038/s41746-024-01402-3
Demuth, S., De Sèze, J., Edan, G., Ziemssen, T., Simon, F., & Gourraud, P. A. (2025). Digital representation of patients as medical digital twins: Data-centric viewpoint. JMIR Medical Informatics, 13, e53542. doi: 10.2196/53542
Earp, B. D., Porsdam Mann, S., Allen, J., Salloch, S., Suren, V., Jongsma, K., Braun, M., Wilkinson, D., Sinnott-Armstrong, W., Rid, A., Wendler, D., & Savulescu, J. (2024). A personalized patient preference predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable. The American Journal of Bioethics, 24(7), 13-26. doi: 10.1080/15265161.2023.2296402
Gaffinet, B., Ali, J. A. H., Naudet, Y., & Panetto, H. (2025). Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.0. Computers in Industry, 166, 104230. doi: 10.1016/j.compind.2024.104230
Guerrero Quiñones, J. L., & Puzio, A. (2025). Digital twins for trans people in healthcare: queer, phenomenological and bioethical considerations. Journal of Medical Ethics. doi: 10.1136/jme-2024-110403
Iranshahi, K., Brun, J., Arnold, T., Sergi, T., & Müller, U. C. (2025). Digital twins: Recent advances and future directions in engineering fields. Intelligent Systems with Applications, 26. doi: 10.1016/j.iswa.2025.200516
Jameil, A. K., & Al-Raweshidy, H. (2024). AI-enabled healthcare and enhanced computational resource management with digital twins into task offloading strategies. IEEE Access, 12, 90353-90370. doi: 10.1109/ACCESS.2024.3420741
Jameil, A. K., & Al-Raweshidy, H. (2025). A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes. Discover Internet of Things, 5, 37. doi: 10.1007/s43926-025-00135-3
Javaid, M., Haleem, A., & Singh, R. P. (2024). Health informatics to enhance the healthcare industry’s culture: An extensive analysis of its features, contributions, applications and limitations. Informatics and Health, 1(2), 123-148. doi: 10.1016/j.infoh.2024.05.001
Jones, A., Vijayan, T. B., & John, S. (2024). Diagnosing cataracts in the digital age: A survey on AI, metaverse, and digital twin applications. Seminars in Ophthalmology, 39(8), 562-569. doi: 10.1080/08820538.2024.2403436
Khan, S., Alzaabi, A., Ratnarajah, T., & Arslan, T. (2024). Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration digital twin model. Computers in Biology and Medicine, 168. doi: 10.1016/j.compbiomed.2023.107825
Lăzăroiu, G., Androniceanu, A., Grecu, I., Grecu, G., & Neguriță, O. (2022a). Artificial intelligencebased decision-making algorithms, Internet of Things sensing networks, and sustainable cyberphysical management systems in big data-driven cognitive manufacturing. Oeconomia Copernicana, 13(4), 1047-1080. doi: 10.24136/oc.2022.030
Lăzăroiu, G., Andronie, M., Iatagan, M., Geamănu, M., Ștefănescu, R., & Dijmărescu, I. (2022b). Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the Internet of Manufacturing Things. ISPRS International Journal of Geo-Information, 11(5), 277. doi: 10.3390/ijgi11050277
Lăzăroiu, G., Gedeon, T., Rogalska, E., Valaskova, K., Nagy, M., Musa, H., Zvarikova, K., Poliak, M., Horak, J., Crețoiu, R. I., Krulicky, T., Ionescu, L., Popa, C., Hurloiu, L. R., Nistor, F., Avram, L. G., & Braga, V. (2024). Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics. Oeconomia Copernicana, 15(3), 837-870. doi: 10.24136/oc.3183
Li, T., Shen, Y., Li, Y., Zhang, Y., & Wu, S. (2024). The status quo and future prospects of digital twins for healthcare. EngMedicine, 1(3). doi: 10.1016/j.engmed.2024.100042
Lin, F., Gao, T., Sun, D., Ni, Q., Ding, X., Wang, J., Gao, D., and Wang, F.-Y. (2025). Parallel medical devices and instruments: Integrating edge and cloud intelligence for smart treatment and health systems. IEEE/CAA Journal of Automatica Sinica, 12(4), 651-654. doi: 10.1109/JAS.2024.124614
Mazhar, T., khan, S., Shahzad, T., khan, M. A., Saeed, M. M., Bamidele Awotunde, J., & Hamam, H. (2025). Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions. Discover Internet of Things, 5, 5. doi: 10.1007/s43926-025-00095-8
Mollica, L., Leli, C., Sottotetti, F., Quaglini, S., Locati, L. D., & Marceglia, S. (2024). Digital twins: a new paradigm in oncology in the era of big data. ESMO Real World Data and Digital Oncology, 5. doi: 10.1016/j.esmorw.2024.100056
Nguyen, H.-S., & Voznak, M. (2024). A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management Trends. IEEE Access, 12, 23887-23913. doi: 10.1109/ACCESS.2024.3363165
Niarakis, A., Laubenbacher, R., An, G., Ilan, Y., Fisher, J., Flobak, Å., Reiche, K., Rodríguez Martínez, M., Geris, L., Ladeira, L., Veschini, L., Blinov, M. L., Messina, F., Fonseca, L. L., Ferreira, S., Montagud, A., Noël, V., Marku, M., Tsirvouli, E., Torres, M. M., Harris, L. A., Sego, T. J., Cockrell, C., Shick, A. E., Balci, H., Salazar, A., Rian, K., Hemedan, A. A., Esteban-Medina, M., Staumont, B., Hernandez-Vargas, E., Martis B, S., Madrid-Valiente, A., Karampelesis, P., Sordo Vieira, L., Harlapur, P., Kulesza, A., Nikaein, N., Garira, W., Sheriff, R. S. M., Thakar, J., Tran, V. D. T., Carbonell-Caballero, J., Safaei, S., Valencia, A., Zinovyev, A., & Glazier, J. A. (2024). Immune digital twins for complex human pathologies: applications, limitations, and challenges. npj Systems Biology and Applications, 10, 141. doi: 10.1038/s41540-024-00450-5
Noeikham, P., Buakum, D., & Sirivongpaisal, N. (2024). Architecture designing of digital twin in a healthcare unit. Health Informatics Journal, 30(4). doi: 10.1177/14604582241296792
Okegbile, S. D., Gao, H., Talabi, O., Cai, J., Yi, C., & Niyato, D. (2025). FLeS: A federated learning-enhanced semantic communication framework for mobile AIGC-driven human digital twins. IEEE Network. doi: 10.1109/MNET.2025.3526556
Ortega-Martorell, S., Olier, I., & Lip, G. Y. H. (2025a). A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium. European Heart Journal, 46(3), 229-232. doi: 10.1093/eurheartj/ehae673
Ortega-Martorell, S., Olier, I., Ohlsson, M., and Lip, G. Y. H. (2025b). Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation. Trends in Cardiovascular Medicine, 35(4), 205-211. doi: 10.1016/j.tcm.2024.12.003
Oulefki, A., Amira, A., & Foufou, S. (2025). Digital twins and AI transforming healthcare systems through innovation and data-driven decision making. Health and Technology, 15, 299-321. doi: 10.1007/s12553-025-00947-x
Pellegrino, G., Gervasi, M., Angelelli, M., & Corallo, A. (2025). A conceptual framework for digital twin in healthcare: Evidence from a systematic metareview. Information Systems Frontiers, 27, 7-32. doi: 10.1007/s10796-024-10536-4
Qoseem, I. O., Ahmed, M., Abdulraheem, H., Hamzah, M. O., Ahmed, M. M., Ukoaka, B. M., Okesanya, O. J., Ogaya, J. B., Adigun, O. A., Ekpenyong, A. M., & Lucero-Prisno III, D. E. (2024). Unlocking the potentials of digital twins for optimal healthcare delivery in Africa. Oxford Open Digital Health, 2. doi: 10.1093/oodh/oqae039
Rahim, M., Lalouani, W., Toubal, E., & Emokpae, L. (2024). A digital twin-based platform for medical cyberphysical systems. IEEE Access, 12, 174591-174607. doi: 10.1109/ACCESS.2024.3502077
Raman, R., Hughes, L., Mandal, S., Das, P., & Nedungadi, P. (2024). Mapping metaverse research to the sustainable development goal of good health and well-being. IEEE Access, 12, 180631-180651. doi: 10.1109/ACCESS.2024.3502171
Ren, Y., Pieper, A. A., & Cheng, F. (2025). Utilization of precision medicine digital twins for drug discovery in Alzheimer’s disease. Neurotherapeutics, 22(3). doi: 10.1016/j.neurot.2025.e00553
Riahi, V., Diouf, I., Khanna, S., Boyle, J., & Hassanzadeh, H. (2025). Digital twins for clinical and operational decision-making: Scoping review. Journal of Medical Internet Research, 27. doi: 10.2196/55015
Roopa, M. S., & Venugopal, K. R. (2025). Digital twins for cyber-physical healthcare systems: Architecture, requirements, systematic analysis, and future prospects. IEEE Access, 13, 44963-44996. doi: 10.1109/ACCESS.2025.3547991.
Rowan, N. J. (2024). Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review. Science of The Total Environment, 926. doi: 10.1016/j.scitotenv.2024.171672
Shamshiri, S., Liu, H., & Sohn, I. (2025). Adversarial robust image processing in medical digital twin. Information Fusion, 115. doi: 10.1016/j.inffus.2024.102728
Somers, R., Walkinshaw, N., Mark Hierons, R., Elliott, J., Iqbal, A., & Walkinshaw, E. (2025). Configuration testing of an artificial pancreas system using a digital twin: An evaluative case study. Software Testing, Verification and Reliability, 35(2). doi: 10.1002/stvr.70000
Subramaniam, S., Akay, M., Anastasio, M. A., Bailey, V., Boas, D., & Bonato, P. (2024). Grand challenges at the interface of engineering and medicine. IEEE Open Journal of Engineering in Medicine and Biology, 5, 1-13. doi: 10.1109/OJEMB.2024.3351717
Tamura, Y., Nomura, A., Kagiyama, N., Mizuno, A., & Node, K. (2024). Digitalomics, digital intervention, and designing future: The next frontier in cardiology. Journal of Cardiology, 83(5), 318-322. doi: 10.1016/j.jjcc.2023.12.002
Tang, C., Yi, W., Occhipinti, E., Dai, Y., Gao, S., & Occhipinti, L. G. (2024). A roadmap for the development of human body digital twins. Nature Reviews Electrical Engineering, 1, 199-207. doi: 10.1038/s44287-024-00025-w
Tao, K., Lei, J., & Huang, J. (2024). Physical integrated digital twin-based interaction mechanism of artificial intelligence rehabilitation robots combining visual cognition and motion control. Wireless Personal Communications. doi: 10.1007/s11277-024-11108-0
Thangaraj, P. M., Benson, S. H., Oikonomou, E. K., Asselbergs, F. W., & Khera, R. (2024). Cardiovascular care with digital twin technology in the era of generative artificial intelligence. European Heart Journal, 45(45), 4808-4821. doi: 10.1093/eurheartj/ehae619
Ullah, S., Khan, S., Vanecek, D., & Ur Rehman, I. (2025). Machine learning and digital-twins-based Internet of Robotic Things for remote patient monitoring. IEEE Access, 13, 57141-57165. doi: 10.1109/ACCESS.2025.3555495
Vallée, A. (2024). Envisioning the future of personalized medicine: Role and realities of digital twins. Journal of Medical Internet Research, 26. doi: 10.2196/50204
Venkatesh, K. P., Brito, G., & Boulos, M. N. K. (2024). Health digital twins in life science and health care innovation. Annual Review of Pharmacology and Toxicology, 64, 159-170. doi: 10.1146/annurevpharmtox-022123-022046
Vidovszky, A. A., Fisher, C. K., Loukianov, A. D., Smith, A. M., Tramel, E. W., Walsh, J. R., & Ross, J. L. (2024). Increasing acceptance of AI-generated digital twins through clinical trial applications. Clinical and Translational Science, 17(7). doi: 10.1111/cts.13897
Wang, Y., Wang, L., & Siau, K. L. (2024). Human-centered interaction in virtual worlds: A new era of generative artificial intelligence and metaverse. International Journal of Human–Computer Interaction, 41(2), 1459-1501. doi: 10.1080/10447318.2024.2316376
Wu, P., Chen, D., & Zhang, R. (2024). Topic prevalence and trends of metaverse in healthcare: a bibliometric analysis. Data Science and Management, 7(2), 129-143. doi: 10.1016/j.dsm.2023.12.003
Xames, M. D., & Topcu, T. G. (2024). A systematic literature review of digital twin research for healthcare systems: Research trends, gaps, and realization challenges. IEEE Access, 12, 4099-4126. doi: 10.1109/ACCESS.2023.3349379
Yu, F., Yu, C., Tian, Z., Liu, X., Cao, J., Liu, L., Du, C., & Jiang, M. (2024). Intelligent wearable system with motion and emotion recognition based on digital twin technology. IEEE Internet of Things Journal, 11(15), 26314-26328. doi: 10.1109/JIOT.2024.3394244
Zhang, H., Cao, Y., Jiang, H., Zhou, Q., Yang, Q., & Cheng, L. (2025). The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases. Clinical and Translational Allergy, 15(1), e70020. doi: 10.1002/clt2.70020