Department of Computer Science and Engineering (AI & ML), ACE Engineering College, Hyderabad, Telangana, India.
World Journal of Advanced Research and Reviews, 2026, 30(01), 1125-1131
Article DOI: 10.30574/wjarr.2026.30.1.0868
Received on 27 February 2026; revised on 05 April 2026; accepted on 07 April 2026
CardioTwinX is a web‑based cardiac digital twin system designed to simulate patient‑specific heart behavior for pre‑op‑ erative analysis. The platform generates a virtual replica of the human heart using clinical parameters such as age, heart rate, blood pressure, cholesterol level, and existing cardiac conditions. A rule‑based simulation engine models physiolog‑ ical changes including artery blockage and abnormal heart rate conditions. The system integrates a 3D visualization mod- ule, risk prediction engine, and analytical dashboard to evaluate surgical safety. By providing predictive insights before medical intervention, the proposed solution enhances decision‑making, reduces potential complications, and supports medical education. CardioTwinX demonstrates the applicability of digital twin technology in personalized healthcare simulation through interactive and visual risk assessment.
Digital Twin; Cardiac Simulation; Pre‑Operative Analysis; Risk Prediction; Three js; Healthcare Analytics; Virtual Heart Model
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Bhargavi Jangam, Rupa Sri Desai Bobbilipati, Bhavitha Vupperpally and Rohan Devu. CardioTwinX: A digital replica of the human heart for pre-operative analysis. World Journal of Advanced Research and Reviews, 2026, 30(01), 1125-1131. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.0868.