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

Viewpoints, Perspectives, Ideas on Aging (18) Clinical Informatics (1325) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Precision Medicine (159) Quality/Credibility of eHealth Information and Trust Issues (654)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71777, first published .
Advancing Emergency Care With Digital Twins

Advancing Emergency Care With Digital Twins

Advancing Emergency Care With Digital Twins

Authors of this article:

Haoran Li1 Author Orcid Image ;   Jingya Zhang1 Author Orcid Image ;   Ning Zhang2 Author Orcid Image ;   Bin Zhu3 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Journals

  1. Kim Y, Oh S, Kim G. Convergence of Integrated Sensing and Communication (ISAC) and Digital-Twin Technologies in Healthcare Systems: A Comprehensive Review. Signals 2025;6(4):51 View
  2. Esposito S, Campana B, Seferi H, Cinti E, Argentiero A. Digital Twins in Pediatric Infectious Diseases: Virtual Models for Personalized Management. Journal of Personalized Medicine 2025;15(11):514 View
  3. Menon G, Malave B, Mhaske M, Parjane S, Mhaismale H. Digital Twin Technologies in Medicine: The Innovations, Barriers, and Future Directions. Intelligent Hospital 2025:100043 View
  4. Piechowiak M, Goch A, Panas E, Masiak J, Mikołajewski D, Rojek I, Mikołajewska E. The Global Importance of Machine Learning-Based Wearables and Digital Twins for Rehabilitation: A Review of Data Collection, Security, Edge Intelligence, Federated Learning, and Generative AI. Electronics 2025;14(23):4699 View