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Development and Application of a Digital Twin of the Human Heart
Subject area: Science,Engineering and Technology · Area of research: Cardiology
Abstract
Cardio-vascular diseases (CVDs) are the leading cause of death worldwide, highlighting the urgent need for innovative diagnostic and therapeutic solutions. The digital twin of the heart, a real-time, patient-specific virtual replica, integrates medical imaging, physiological data, and artificial intelligence (Al) to provide personalized treatment and predictive simulations. This thesis examines the foundations of cardiac digital twins, their development methodologies, medical applications, challenges, and future prospects. The Digital Heart Twin enables simulation of cardiac anatomy, physiology, hemodynamic, and electrophysiological activity in real time. By replicating the patient?s heart, it allows clinicians to test ?what-if? scenarios, such as blocked arteries, arrhythmias, or surgical interventions, without exposing the patient to risk.
References
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[2] Bashir, A., Pagano, D., & Taggart, D. P. (2019). Role of digital simulation in planning cardiovascular surgery. Interactive Cardio-Vascular and Thoracic Surgery, 28(6), 985–992. https://doi.org/10.1093/icvts/ivz030
[3] Corral-Acero, J., Margara, F., Marciniak, M., et al. (2020). The ‘Digital Twin’ to enable the vision of precision cardiology. European Heart Journal, 41(48), 4556–4564. https://doi.org/10.1093/eurheartj/ehaa159
[4] Grieves, M. (2014). Digital twin: Manufacturing excellence through virtual factory replication. White Paper, Florida Institute of Technology.
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[7] World Health Organization. (2023). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases
How to cite this paper
@article{1711055,
author = {Saniya Noor Fathima , Zainab Sitara },
title = {Development and Application of a Digital Twin of the Human Heart},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {4},
pages = {270-272},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711055.pdf},
abstract = {Cardio-vascular diseases (CVDs) are the leading cause of death worldwide, highlighting the urgent need for innovative diagnostic and therapeutic solutions. The digital twin of the heart, a real-time, patient-specific virtual replica, integrates medical imaging, physiological data, and artificial intelligence (Al) to provide personalized treatment and predictive simulations. This thesis examines the foundations of cardiac digital twins, their development methodologies, medical applications, challenges, and future prospects. The Digital Heart Twin enables simulation of cardiac anatomy, physiology, hemodynamic, and electrophysiological activity in real time. By replicating the patient?s heart, it allows clinicians to test ?what-if? scenarios, such as blocked arteries, arrhythmias, or surgical interventions, without exposing the patient to risk.},
month = {October},
}