Artificial intelligence-derived physiological aging is associated with coronary endothelial dysfunction by Ahmad, A, Toya, T, Corban, M, Attia, Z.I, Lopez-Jimenez, F, Shelly Cohen, M, Noseworthy, P.A, Kapa, S, Friedman, P.A, Lerman, A

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External validation of an electrocardiography artificial intelligence-generated algorithm to detect left ventricular systolic function in a general cardiac clinic in Uganda by Mondo, C.K, Attia, Z.I, Benavente, E.D, Friedman, P, Noseworthy, P, Kapa, P, Ingabire, P, Semanda, S, Perel, P, Lopez-Jimenez, F

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Artificial intelligence-enabled detection of paroxysmal atrial fibrillation from normal sinus ECGs in patients with coronary microvascular dysfunction by Ahmad, A, Corban, M, Toya, T, Attia, Z.I, Noseworthy, P, Shelly Cohen, M, Lopez-Jimenez, F, Kapa, S, Friedman, P.A, Lerman, A

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Corrigendum to “The effect of cardiac rhythm on artificial intelligence-enabled ECG evaluation of left ventricular ejection fraction prediction in cardiac intensive care unit patie... by Kashou, A.H., Noseworthy, P.A., Lopez-Jimenez, F., Attia, Z.I., Kapa, S., Friedman, P.A., Jentzer, J.C.

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