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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Text (Final published editorial)
13581 Sethi, Yashendra, Padda, Inderbir, Sebastian, Sneha Annie, Moinuddin, Arsalan and Johal, Gurpreet (2023) Computational Cardiology.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (486kB) | Preview |
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 |
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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: | 20 Nov 2024 13:11 |
URI: | https://eprints.glos.ac.uk/id/eprint/13581 |
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