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

Viewpoints on and Experiences with Digital Technologies in Health (94) Big Data (305) New Technologies (104) Information Models (42) Tools, Programs and Algorithms (362)

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 (3) 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

Books/Policy Documents

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