Computational Cardiology: The Door to the Future of Interventional Cardiology

Sethi, Yashendra, Padda, Inderbir, Sebastian, Sneha Annie, Moinuddin, Arsalan ORCID: 0000-0002-4242-1714 and Johal, Gurpreet (2023) Computational Cardiology: The Door to the Future of Interventional Cardiology. JACC: Advances, 2 (8). Art 100625. doi:10.1016/j.jacadv.2023.100625

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Abstract

Precision medicine in cardiology has opened up new avenues for phenotypically personalized, integrative, and patient-centered treatment.1 Interventional cardiology is not untouched either (Figure 1). With the developments in artificial intelligence (AI), the computational models have revolutionized not only the ‘precision’ of the therapy but also the outcomes. Interventional cardiology, as a specialty, relies on the structural anatomy of the heart, more precisely banking on existing patient data. Computational cardiology allows an extension to the design by predicting outcomes of an intervention in individual patients utilizing integrated patient data sets and models based on physiology and physics (as opposed to population statistics). Further, it satisfies the need for patient-specific models in direct pharmaceutical therapy.

Item Type: Article
Article Type: Editorial
Uncontrolled Keywords: Artificial intelligence; Computational cardiology; Fractional flow reserve derived from computed tomography; Interventional cardiology; SYNTAX score
Subjects: R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine
Depositing User: Susan Turner
Date Deposited: 21 Dec 2023 15:38
Last Modified: 21 Dec 2023 16:00
URI: https://eprints.glos.ac.uk/id/eprint/13581

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