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Connection

David Ouyang to Echocardiography

This is a "connection" page, showing publications David Ouyang has written about Echocardiography.
Connection Strength

4.296
  1. 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.
    View in: PubMed
    Score: 0.620
  2. Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements. Open Heart. 2024 Dec 18; 11(2).
    View in: PubMed
    Score: 0.607
  3. Precision of Echocardiographic Measurements. J Am Soc Echocardiogr. 2024 May; 37(5):562-563.
    View in: PubMed
    Score: 0.568
  4. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 04; 616(7957):520-524.
    View in: PubMed
    Score: 0.539
  5. 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: 0.156
  6. Ratio of interventricular septal thickness to global longitudinal strain accurately identifies cardiac amyloidosis. Open Heart. 2025 May 14; 12(1).
    View in: PubMed
    Score: 0.156
  7. Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence. J Am Heart Assoc. 2025 May 20; 14(10):e040641.
    View in: PubMed
    Score: 0.156
  8. 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: 0.154
  9. AI-echocardiography: Current status and future direction. J Cardiol. 2025 Jun; 85(6):458-464.
    View in: PubMed
    Score: 0.154
  10. The ImageGuideEcho Registry: Using Data Science to Understand and Improve Echocardiography. Curr Cardiol Rep. 2025 Jan 29; 27(1):41.
    View in: PubMed
    Score: 0.153
  11. Deep learning for transesophageal echocardiography view classification. Sci Rep. 2024 01 02; 14(1):11.
    View in: PubMed
    Score: 0.142
  12. 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: 0.136
  13. 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: 0.134
  14. 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: 0.132
  15. Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
    View in: PubMed
    Score: 0.122
  16. Characterizing Mitral Regurgitation With Precision Phenotyping and Unsupervised Learning. JACC Cardiovasc Imaging. 2021 12; 14(12):2301-2302.
    View in: PubMed
    Score: 0.120
  17. Video-based AI for beat-to-beat assessment of cardiac function. Nature. 2020 04; 580(7802):252-256.
    View in: PubMed
    Score: 0.109
  18. 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: 0.037
  19. Severe aortic stenosis detection by deep learning applied to echocardiography. Eur Heart J. 2023 11 14; 44(43):4592-4604.
    View in: PubMed
    Score: 0.035
  20. 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: 0.033
  21. 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: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.