Digital Twins and Computational Modelling in Cardiovascular Care: Where Simulation Currently Earns Clinical Trust

Authors

  • Tobias Frauenschuh Centre for Computational Cardiology, Limmat Institute of Cardiovascular Medicine, Zurich, Switzerland Author
  • Beatriz Almendro-Gil Department of Cardiology, Atlantic Institute of Cardiovascular Science, Las Palmas, Spain Author
  • Janne Kuusniemi Department of Cardiovascular Modelling, Kokemäki Institute of Cardiology, Pori, Finland Author

DOI:

https://doi.org/10.5281/zenodo.22365953

Abstract

The phrase 'digital twin' has become common shorthand for computational models built from an individual patient's own
anatomy and, increasingly, physiology, intended to simulate a procedure or predict a physiological measurement before it is
performed or measured directly. In cardiovascular care, this idea has progressed furthest not as a single unified technology
but as a set of distinct applications, each accumulating its own evidence base at its own pace.

References

Norgaard BL, Leipsic J, Gaur S, et al. "Diagnostic Performance of Noninvasive Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography in Suspected Coronary Artery Disease" (NXT trial). J Am Coll Cardiol 63(2014):1145-1155.

Douglas PS, Pontone G, Hlatky MA, et al. "Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease" (PLATFORM trial). Eur Heart J 36(2015):3359-3367.

[PREDICT-LAA randomized study of patient-specific computational simulation (FEops HEARTguide) versus standard CT-based sizing for Amplatzer Amulet left atrial appendage closure, as summarized in company/press reporting of the trial results, 2023].

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Published

2024-11-12

How to Cite

Digital Twins and Computational Modelling in Cardiovascular Care: Where Simulation Currently Earns Clinical Trust. (2024). Journal of Heart and Cardiovascular Science, 5(1), 24-27. https://doi.org/10.5281/zenodo.22365953