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David Ouyang to Echocardiography

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This is a "connection" page, showing publications David Ouyang has written about Echocardiography.
David Ouyang
Connection Strength
7.023
Echocardiography
  1. Artificial Intelligence Automation of Echocardiographic Measurements. J Am Coll Cardiol. 2025 Sep 30; 86(13):964-978.
    View in: PubMed
    Score: 0.662
  2. 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.
    View in: PubMed
    Score: 0.644
  3. Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements. Open Heart. 2024 12 18; 11(2).
    View in: PubMed
    Score: 0.630
  4. Vision-language foundation model for echocardiogram interpretation. Nat Med. 2024 05; 30(5):1481-1488.
    View in: PubMed
    Score: 0.603
  5. Deep Learning-Derived Myocardial Strain. JACC Cardiovasc Imaging. 2024 Jul; 17(7):715-725.
    View in: PubMed
    Score: 0.599
  6. Precision of Echocardiographic Measurements. J Am Soc Echocardiogr. 2024 05; 37(5):562-563.
    View in: PubMed
    Score: 0.590
  7. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 04; 616(7957):520-524.
    View in: PubMed
    Score: 0.560
  8. AI echo INSIGHT study: A prospective blinded randomized trial of artificial intelligence echocardiogram interpretation. Contemp Clin Trials. 2026 Oct; 169:108431.
    View in: PubMed
    Score: 0.176
  9. A Clinically Interpretable Artificial Intelligence System for Real-Time Quality Control of Transthoracic Echocardiography: Development, Validation, and Deployment. J Am Soc Echocardiogr. 2026 Sep; 39(9):875-886.
    View in: PubMed
    Score: 0.175
  10. Using Deep Learning to Predict Cardiovascular Magnetic Resonance Findings From Echocardiographic Videos. J Am Soc Echocardiogr. 2025 Sep; 38(9):807-815.
    View in: PubMed
    Score: 0.162
  11. Ratio of interventricular septal thickness to global longitudinal strain accurately identifies cardiac amyloidosis. Open Heart. 2025 05 14; 12(1).
    View in: PubMed
    Score: 0.162
  12. Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence. J Am Heart Assoc. 2025 05 20; 14(10):e040641.
    View in: PubMed
    Score: 0.162
  13. 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.
    View in: PubMed
    Score: 0.160
  14. AI-echocardiography: Current status and future direction. J Cardiol. 2025 06; 85(6):458-464.
    View in: PubMed
    Score: 0.160
  15. The ImageGuideEcho Registry: Using Data Science to Understand and Improve Echocardiography. Curr Cardiol Rep. 2025 Jan 29; 27(1):41.
    View in: PubMed
    Score: 0.159
  16. High-Throughput Deep Learning Detection of Mitral Regurgitation. Circulation. 2024 Sep 17; 150(12):923-933.
    View in: PubMed
    Score: 0.154
  17. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression. JAMA Cardiol. 2024 06 01; 9(6):534-544.
    View in: PubMed
    Score: 0.152
  18. Deep learning for transesophageal echocardiography view classification. Sci Rep. 2024 01 02; 14(1):11.
    View in: PubMed
    Score: 0.147
  19. 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.
    View in: PubMed
    Score: 0.141
  20. 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.
    View in: PubMed
    Score: 0.139
  21. Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms. J Am Soc Echocardiogr. 2023 05; 36(5):474-481.e3.
    View in: PubMed
    Score: 0.137
  22. Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
    View in: PubMed
    Score: 0.126
  23. Characterizing Mitral Regurgitation With Precision Phenotyping and Unsupervised Learning. JACC Cardiovasc Imaging. 2021 12; 14(12):2301-2302.
    View in: PubMed
    Score: 0.125
  24. Video-based AI for beat-to-beat assessment of cardiac function. Nature. 2020 04; 580(7802):252-256.
    View in: PubMed
    Score: 0.113
  25. Current State of Artificial Intelligence in Assessing Cardiac Function. Curr Cardiol Rep. 2025 Nov 27; 27(1):158.
    View in: PubMed
    Score: 0.042
  26. Deep learning to detect left ventricular structural abnormalities in chest X-rays. Eur Heart J. 2024 Jun 07; 45(22):2002-2012.
    View in: PubMed
    Score: 0.038
  27. Severe aortic stenosis detection by deep learning applied to echocardiography. Eur Heart J. 2023 11 14; 44(43):4592-4604.
    View in: PubMed
    Score: 0.036
  28. 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.
    View in: PubMed
    Score: 0.035
  29. Cardiac microstructural alterations measured by echocardiography identify sex-specific risk for heart failure. Heart. 2022 10 28; 108(22):1800-1806.
    View in: PubMed
    Score: 0.034
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.