This paper is in the following e-collection/theme issue:

Viewpoints on and Experiences with Digital Technologies in Health (107) Big Data (317) New Technologies (115) Information Models (48) Tools, Programs and Algorithms (405)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53542, first published .
Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint

Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint

Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint

Authors of this article:

Stanislas Demuth1, 2 Author Orcid Image ;   Jérôme De Sèze2, 3 Author Orcid Image ;   Gilles Edan4 Author Orcid Image ;   Tjalf Ziemssen5 Author Orcid Image ;   Françoise Simon6, 7 Author Orcid Image ;   Pierre-Antoine Gourraud1, 8 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Isolan L, Panico N, Fioroni F, Grassi E, Iori M, Sumini M. Extravasation modeling from a PET/CT imaging for a possible digital twin approach. Radiation Physics and Chemistry 2025;237:113080 View
  2. Kim E, Lim Y. Mapping interconnectivity of digital twin healthcare research themes through structural topic modeling. Scientific Reports 2025;15(1) View
  3. Demuth S, Rousseau O, Faddeenkov I, Paris J, De Sèze J, Baciotti B, Payet M, Guillaudeux M, Barreteau A, Laplaud D, Edan G, Gourraud P. Privacy-by-Design Approach to Generate Two Virtual Clinical Trials for Multiple Sclerosis and Release Them as Open Datasets: Evaluation Study. Journal of Medical Internet Research 2025;27:e71297 View
  4. Lăzăroiu G, Gedeon T, Halicka K, Szpilko D. Generative artificial intelligence-driven medical digital twin technologies in blockchain Internet of Things wearable sensor and computer vision-based extended reality healthcare metaverse. Engineering Management in Production and Services 2025;17(3):27 View
  5. Siddiqui R, Lloyd D, Khan N. Integrating molecular pathogenesis and predictive modelling in granulomatous amoebic encephalitis due to Acanthamoeba : a digital twin framework for personalised therapy. Infectious Diseases 2026;58(1):164 View
  6. Yahya F, Cooper M, Saif W, Kassem M, Nazar H. Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review. Journal of Medical Internet Research 2025;27:e81510 View
  7. Wu X, Wu G, Zhang X, Yang Q, Xie L. Hierarchical Decoupling Digital Twin Modeling Method for Topological Systems: A Case Study of Water Purification Systems. Technologies 2026;14(1):42 View
  8. Wang C, Liu X, Wang F, Feng F, Feng L. Optimization of connection models in digital twin systems: Efficient merging and assembly strategy for enhanced scalability and resource optimization. Journal of Industrial Information Integration 2026;50:101070 View
  9. Alotaibi F, Ahmad S, Akram T, Alanazi S, Almoteri M, Alotaibi A. A cost-optimized medical digital twin framework for secure and efficient patient data management in smart healthcare. Scientific Reports 2026 View
  10. Voigt I, Masanneck L, Pawlitzki M, Inojosa H, Meuth S, Ziemssen T. MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management. npj Digital Medicine 2026 View

Books/Policy Documents

  1. Kokkas S, Segkouli S, Votis K. Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops. View