David Ouyang to Echocardiography
This is a "connection" page, showing publications David Ouyang has written about Echocardiography.
Connection Strength
4.296
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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 Apr 15; 14(8):e036533.
Score: 0.620
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Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements. Open Heart. 2024 Dec 18; 11(2).
Score: 0.607
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Precision of Echocardiographic Measurements. J Am Soc Echocardiogr. 2024 May; 37(5):562-563.
Score: 0.568
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Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 04; 616(7957):520-524.
Score: 0.539
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Using Deep Learning to Predict Cardiovascular Magnetic Resonance Findings From Echocardiographic Videos. J Am Soc Echocardiogr. 2025 Sep; 38(9):807-815.
Score: 0.156
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Ratio of interventricular septal thickness to global longitudinal strain accurately identifies cardiac amyloidosis. Open Heart. 2025 May 14; 12(1).
Score: 0.156
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Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence. J Am Heart Assoc. 2025 May 20; 14(10):e040641.
Score: 0.156
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Predicting Cardiac Magnetic Resonance-Derived Ejection Fraction from Echocardiogram Via Deep Learning Approach in Tetralogy of Fallot. Pediatr Cardiol. 2026 Feb; 47(2):573-584.
Score: 0.154
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AI-echocardiography: Current status and future direction. J Cardiol. 2025 Jun; 85(6):458-464.
Score: 0.154
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The ImageGuideEcho Registry: Using Data Science to Understand and Improve Echocardiography. Curr Cardiol Rep. 2025 Jan 29; 27(1):41.
Score: 0.153
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Deep learning for transesophageal echocardiography view classification. Sci Rep. 2024 01 02; 14(1):11.
Score: 0.142
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A Vision for the Future of Quality in Echocardiographic Reporting: The American Society of Echocardiography ImageGuideEcho Registry, Current and Future States. J Am Soc Echocardiogr. 2023 08; 36(8):805-811.
Score: 0.136
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AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMS. J Emerg Med. 2024 02; 66(2):184-191.
Score: 0.134
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Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms. J Am Soc Echocardiogr. 2023 05; 36(5):474-481.e3.
Score: 0.132
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Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
Score: 0.122
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Characterizing Mitral Regurgitation With Precision Phenotyping and Unsupervised Learning. JACC Cardiovasc Imaging. 2021 12; 14(12):2301-2302.
Score: 0.120
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Video-based AI for beat-to-beat assessment of cardiac function. Nature. 2020 04; 580(7802):252-256.
Score: 0.109
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Deep learning to detect left ventricular structural abnormalities in chest X-rays. Eur Heart J. 2024 Jun 07; 45(22):2002-2012.
Score: 0.037
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Severe aortic stenosis detection by deep learning applied to echocardiography. Eur Heart J. 2023 11 14; 44(43):4592-4604.
Score: 0.035
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Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients. J Am Soc Echocardiogr. 2023 05; 36(5):482-489.
Score: 0.033
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Cardiac microstructural alterations measured by echocardiography identify sex-specific risk for heart failure. Heart. 2022 10 28; 108(22):1800-1806.
Score: 0.033