| An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction ZI Attia, PA Noseworthy, F Lopez-Jimenez, SJ Asirvatham, AJ Deshmukh, ... The Lancet 394 (10201), 861-867, 2019 | 1122 | 2019 |
| Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram ZI Attia, S Kapa, F Lopez-Jimenez, PM McKie, DJ Ladewig, G Satam, ... Nature medicine 25 (1), 70-74, 2019 | 907 | 2019 |
| Artificial intelligence-enhanced electrocardiography in cardiovascular disease management KC Siontis, PA Noseworthy, ZI Attia, PA Friedman Nature Reviews Cardiology 18 (7), 465-478, 2021 | 491 | 2021 |
| Age and sex estimation using artificial intelligence from standard 12-lead ECGs ZI Attia, PA Friedman, PA Noseworthy, F Lopez-Jimenez, DJ Ladewig, ... Circulation: Arrhythmia and Electrophysiology 12 (9), e007284, 2019 | 299 | 2019 |
| Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled electrocardiogram WY Ko, KC Siontis, ZI Attia, RE Carter, S Kapa, SR Ommen, SJ Demuth, ... Journal of the American College of Cardiology 75 (7), 722-733, 2020 | 254 | 2020 |
| Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram CD Galloway, AV Valys, JB Shreibati, DL Treiman, FL Petterson, ... JAMA cardiology 4 (5), 428-436, 2019 | 252 | 2019 |
| Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial X Yao, DR Rushlow, JW Inselman, RG McCoy, TD Thacher, EM Behnken, ... Nature Medicine 27 (5), 815-819, 2021 | 212 | 2021 |
| Artificial intelligence in cardiology: present and future F Lopez-Jimenez, Z Attia, AM Arruda-Olson, R Carter, ... Mayo Clinic Proceedings 95 (5), 1015-1039, 2020 | 184 | 2020 |
| Application of artificial intelligence to the electrocardiogram ZI Attia, DM Harmon, ER Behr, PA Friedman European heart journal 42 (46), 4717-4730, 2021 | 156 | 2021 |
| Assessing and mitigating bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ECG analysis PA Noseworthy, ZI Attia, LPC Brewer, SN Hayes, X Yao, S Kapa, ... Circulation: Arrhythmia and Electrophysiology 13 (3), e007988, 2020 | 154 | 2020 |
| Electrocardiogram screening for aortic valve stenosis using artificial intelligence M Cohen-Shelly, ZI Attia, PA Friedman, S Ito, BA Essayagh, WY Ko, ... European heart journal 42 (30), 2885-2896, 2021 | 136 | 2021 |
| Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology AK Feeny, MK Chung, A Madabhushi, ZI Attia, M Cikes, M Firouznia, ... Circulation: Arrhythmia and Electrophysiology 13 (8), e007952, 2020 | 134 | 2020 |
| Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction ZI Attia, S Kapa, X Yao, F Lopez‐Jimenez, TL Mohan, PA Pellikka, ... Journal of cardiovascular electrophysiology 30 (5), 668-674, 2019 | 132 | 2019 |
| Artificial intelligence-enabled ECG algorithm to identify patients with left ventricular systolic dysfunction presenting to the emergency department with dyspnea D Adedinsewo, RE Carter, Z Attia, P Johnson, AH Kashou, JL Dugan, ... Circulation: Arrhythmia and Electrophysiology 13 (8), e008437, 2020 | 116 | 2020 |
| Artificial intelligence–enabled assessment of the heart rate corrected QT interval using a mobile electrocardiogram device JR Giudicessi, M Schram, JM Bos, CD Galloway, JB Shreibati, ... Circulation 143 (13), 1274-1286, 2021 | 103 | 2021 |
| Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial PA Noseworthy, ZI Attia, EM Behnken, RE Giblon, KA Bews, S Liu, ... The Lancet 400 (10359), 1206-1212, 2022 | 92 | 2022 |
| Artificial intelligence–electrocardiography to predict incident atrial fibrillation: a population-based study G Christopoulos, J Graff-Radford, CL Lopez, X Yao, ZI Attia, ... Circulation: Arrhythmia and Electrophysiology 13 (12), e009355, 2020 | 89 | 2020 |
| Novel bloodless potassium determination using a signal‐processed single‐lead ECG ZI Attia, CV DeSimone, JJ Dillon, Y Sapir, VK Somers, JL Dugan, ... Journal of the American heart Association 5 (1), e002746, 2016 | 89 | 2016 |
| Use of artificial intelligence and deep neural networks in evaluation of patients with electrocardiographically concealed long QT syndrome from the surface 12-lead … JM Bos, ZI Attia, DE Albert, PA Noseworthy, PA Friedman, MJ Ackerman JAMA cardiology 6 (5), 532-538, 2021 | 86 | 2021 |
| Artificial intelligence–enhanced electrocardiogram for the early detection of cardiac amyloidosis M Grogan, F Lopez-Jimenez, M Cohen-Shelly, A Dispenzieri, ZI Attia, ... Mayo Clinic Proceedings 96 (11), 2768-2778, 2021 | 62 | 2021 |
