David Ouyang to Electrocardiography
This is a "connection" page, showing publications David Ouyang has written about Electrocardiography.
Connection Strength
2.443
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Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review. J Am Heart Assoc. 2025 04 15; 14(8):e036533.
Score: 0.721
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Serum Potassium Monitoring UsingĀ AI-Enabled Smartwatch Electrocardiograms. JACC Clin Electrophysiol. 2024 12; 10(12):2644-2654.
Score: 0.696
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Deep Learning-Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation. Circulation. 2026 Jan 06; 153(1):35-46.
Score: 0.188
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Detecting structural heart disease from electrocardiograms using AI. Nature. 2025 08; 644(8075):221-230.
Score: 0.184
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Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study. Lancet Digit Health. 2024 01; 6(1):e70-e78.
Score: 0.164
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Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation. JAMA Cardiol. 2023 12 01; 8(12):1131-1139.
Score: 0.164
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Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation. 2023 08 29; 148(9):765-777.
Score: 0.160
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Comparison of QT Interval Measurement Methods and Correction Formulas in Atrial Fibrillation. Am J Cardiol. 2019 06 01; 123(11):1822-1827.
Score: 0.118
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Current State of Artificial Intelligence in Assessing Cardiac Function. Curr Cardiol Rep. 2025 Nov 27; 27(1):158.
Score: 0.047