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.
Citations
IRE Journals:
Saniya Noor Fathima , Zainab Sitara
"Development and Application of a Digital Twin of the Human Heart" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 270-272
IEEE:
Saniya Noor Fathima , Zainab Sitara
"Development and Application of a Digital Twin of the Human Heart" Iconic Research And Engineering Journals, 9(4)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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