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

Reviews on Cardiovascular Health and Medicine (33) Machine Learning (2121) Precision Medicine (166) Clinical Information and Decision Making (1953) Clinical Informatics (1348)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78499, first published .
Technologies, Clinical Applications, and Implementation Barriers of Digital Twins in Precision Cardiology: Systematic Review

Technologies, Clinical Applications, and Implementation Barriers of Digital Twins in Precision Cardiology: Systematic Review

Technologies, Clinical Applications, and Implementation Barriers of Digital Twins in Precision Cardiology: Systematic Review

Authors of this article:

Fatemeh Sarani Rad1 Author Orcid Image ;   Ehsan Bitaraf2 Author Orcid Image ;   Maryam Jafarpour3 Author Orcid Image ;   Juan Li1 Author Orcid Image
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Fatemeh Sarani Rad   1 * , MSc ;   Ehsan Bitaraf   2 * , MD ;   Maryam Jafarpour   3 * , PhD ;   Juan Li   1 * , PhD

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

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

3 Center for Medical Data Science, Medical University of Vienna, Vienna, Austria

*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 (701) 231-9662
  • Email: j.li@ndsu.edu