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

Reviews on Diabetes Technologies and Innovations (88) Digital Health Reviews (3450) Clinical Information and Decision Making (3449) Wearables and MHealth Viewpoints (196) Glucose Tracking and Self-Monitoring of Blood Glucose (233) Diabetes Self-Management (710) Visualization and Design for Diabetes Data (20) Data Science (668) Artificial Intelligence in Diabetes Care and Prevention (99)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83059, first published .
Man viewing holographic health data from wearable devices and food intake.

Digital Twin Applications in Diabetes Management: Scoping Review

Digital Twin Applications in Diabetes Management: Scoping Review

Authors of this article:

Fatemeh Sarani Rad1 Author Orcid Image ;   Maryam Jafarpour2 Author Orcid Image ;   Ehsan Bitaraf3 Author Orcid Image ;   Katayoon Khaleghdadi4 Author Orcid Image ;   Juan Li1 Author Orcid Image
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Fatemeh Sarani Rad   1 * , MSc ;   Maryam Jafarpour   2 * , PhD ;   Ehsan Bitaraf   3 * , MD ;   Katayoon Khaleghdadi   4 * , BS ;   Juan Li   1 * , PhD

1 Computer Science Department, North Dakota State University, Fargo, ND, United States

2 Institute of Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria

3 Center for Technology and Innovation in Cardiovascular Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran

4 Department of Computer Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran

*all authors contributed equally

Corresponding Author:

  • Juan Li, PhD
  • Computer Science Department
  • North Dakota State University
  • 1320 Albrecht Blvd
  • Fargo, ND 58105
  • United States
  • Phone: 1 7012319662
  • Email: j.li@ndsu.edu