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Connection

David Ouyang to Artificial Intelligence

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

6.582
  1. Artificial Intelligence Automation of Echocardiographic Measurements. J Am Coll Cardiol. 2025 Sep 30; 86(13):964-978.
    View in: PubMed
    Score: 0.627
  2. 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: 0.614
  3. 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: 0.610
  4. Serum Potassium Monitoring UsingĀ AI-Enabled Smartwatch Electrocardiograms. JACC Clin Electrophysiol. 2024 12; 10(12):2644-2654.
    View in: PubMed
    Score: 0.589
  5. Leveraging 3D Echocardiograms to Evaluate AI Model Performance in Predicting Cardiac Function on Out-of-Distribution Data. Pac Symp Biocomput. 2024; 29:39-52.
    View in: PubMed
    Score: 0.558
  6. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 04; 616(7957):520-524.
    View in: PubMed
    Score: 0.530
  7. Revival and Revision of Right Ventricular Assessment by Machine Learning. JACC Cardiovasc Imaging. 2022 05; 15(5):780-782.
    View in: PubMed
    Score: 0.497
  8. Leveraging Large Clinical Data Sets for Artificial Intelligence in Medicine. JAMA Cardiol. 2021 11 01; 6(11):1296-1297.
    View in: PubMed
    Score: 0.481
  9. 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: 0.167
  10. 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: 0.166
  11. Current State of Artificial Intelligence in Assessing Cardiac Function. Curr Cardiol Rep. 2025 Nov 27; 27(1):158.
    View in: PubMed
    Score: 0.159
  12. AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence. JAMA. 2025 11 11; 334(18):1650-1664.
    View in: PubMed
    Score: 0.159
  13. Detecting structural heart disease from electrocardiograms using AI. Nature. 2025 08; 644(8075):221-230.
    View in: PubMed
    Score: 0.155
  14. AI-echocardiography: Current status and future direction. J Cardiol. 2025 06; 85(6):458-464.
    View in: PubMed
    Score: 0.151
  15. 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: 0.144
  16. Vision-language foundation model for echocardiogram interpretation. Nat Med. 2024 05; 30(5):1481-1488.
    View in: PubMed
    Score: 0.143
  17. Artificial Intelligence in Cardiovascular Care-Part 2: Applications: JACC Review Topic of the Week. J Am Coll Cardiol. 2024 06 18; 83(24):2487-2496.
    View in: PubMed
    Score: 0.142
  18. Artificial Intelligence for Cardiovascular Care-Part 1: Advances: JACC Review Topic of the Week. J Am Coll Cardiol. 2024 06 18; 83(24):2472-2486.
    View in: PubMed
    Score: 0.142
  19. Deep Learning for Cardiovascular Imaging: A Review. JAMA Cardiol. 2023 11 01; 8(11):1089-1098.
    View in: PubMed
    Score: 0.138
  20. Current and Future Applications of Artificial Intelligence in Cardiac CT. Curr Cardiol Rep. 2023 03; 25(3):109-117.
    View in: PubMed
    Score: 0.131
  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: 0.130
  22. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021 04; 27(4):582-584.
    View in: PubMed
    Score: 0.115
  23. 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
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.