Prognostic Value of a Coronary Computed Tomography Angiography–Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/Positron Emission Tomography Imaging

Background Artificial intelligence–guided quantitative computed tomography ischemia (AI‐QCTischemia) is a novel machine‐learning method for predicting myocardial ischemia from coronary computed tomography angiography (CCTA). This observational cohort study aimed to compare the long‐term prognostic v...

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Hlavní autoři:	Teemu Maaniitty, Sarah Bär, Takeru Nabeta, Jeroen J. Bax, Antti Saraste, Juhani Knuuti
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-11-01
Edice:	Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Témata:	artificial intelligence coronary computed tomography angiography myocardial perfusion imaging positron emission tomography prognosis
On-line přístup:	https://www.ahajournals.org/doi/10.1161/JAHA.124.040726
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