Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice

Author:

P. Karlsberg Ronald,S. Nurmohamed Nick,G. Quesada Carlos,A. Samuels Bruce,Dohad Suhail,R. Anderson Lauren,Crabtree Tami,K. Min James,D. Choi Andrew,P. Earls James

Funder

Hartstichting

European Atherosclerosis Society

Publisher

Elsevier BV

Reference10 articles.

1. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the evaluation and diagnosis of chest pain: a report of the American college of cardiology/American heart association joint committee on clinical practice guidelines;Gulati;J. Am. Coll. Cardiol,2021

2. Comparison of coronary CT angiography, SPECT, PET, and hybrid imaging for diagnosis of ischemic heart disease determined by fractional flow reserve;Danad;JAMA Cardiol.,2017

3. Patient-centered imaging: Shared decision making for cardiac imaging procedures with exposure to ionizing radiation;Einstein;J. Am. Coll. Cardiol.,2014

4. Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography;Nurmohamed;Eur. Heart J.,2024

5. Impact of atherosclerosis imaging-quantitative computed tomography on diagnostic certainty, downstream testing, coronary revascularization and medical therapy: the CERTAIN study;Nurmohamed;Eur. Hear. J. – Cardiovasc. Imaging,2024

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