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David Ouyang to Humans

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This is a "connection" page, showing publications David Ouyang has written about Humans.
David Ouyang
Connection Strength
0.867
Humans
  1. Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography. JAMA Cardiol. 2025 Jun 01; 10(6):595-602.
    View in: PubMed
    Score: 0.030
  2. 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: 0.030
  3. 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: 0.030
  4. Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements. Open Heart. 2024 Dec 18; 11(2).
    View in: PubMed
    Score: 0.029
  5. Machine Learning in Imaging: What is JASE Looking For? J Am Soc Echocardiogr. 2024 Mar; 37(3):273-275.
    View in: PubMed
    Score: 0.027
  6. Precision of Echocardiographic Measurements. J Am Soc Echocardiogr. 2024 May; 37(5):562-563.
    View in: PubMed
    Score: 0.027
  7. Deep learning for transesophageal echocardiography view classification. Sci Rep. 2024 01 02; 14(1):11.
    View in: PubMed
    Score: 0.027
  8. 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: 0.027
  9. Impact of Measurement Noise on Genetic Association Studies of Cardiac Function. Pac Symp Biocomput. 2024; 29:134-147.
    View in: PubMed
    Score: 0.027
  10. Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation. JAMA Cardiol. 2023 12 01; 8(12):1131-1139.
    View in: PubMed
    Score: 0.027
  11. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 04; 616(7957):520-524.
    View in: PubMed
    Score: 0.026
  12. 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: 0.025
  13. Deep Learning Preoperative Risk Stratification. Ann Thorac Surg. 2023 01; 115(1):264-265.
    View in: PubMed
    Score: 0.024
  14. Revival and Revision of Right Ventricular Assessment by Machine Learning. JACC Cardiovasc Imaging. 2022 05; 15(5):780-782.
    View in: PubMed
    Score: 0.024
  15. Extracting More From Less: A New Frontier for High-Throughput Clinical Phenotyping. Circ Cardiovasc Qual Outcomes. 2022 06; 15(6):e009055.
    View in: PubMed
    Score: 0.024
  16. High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning. JAMA Cardiol. 2022 04 01; 7(4):386-395.
    View in: PubMed
    Score: 0.024
  17. A Case of Dropped Beats: Management of a Common Fetal Arrhythmia. Neoreviews. 2022 04 01; 23(4):e272-e278.
    View in: PubMed
    Score: 0.024
  18. Leveraging Large Clinical Data Sets for Artificial Intelligence in Medicine. JAMA Cardiol. 2021 11 01; 6(11):1296-1297.
    View in: PubMed
    Score: 0.023
  19. Characterizing Mitral Regurgitation With Precision Phenotyping and Unsupervised Learning. JACC Cardiovasc Imaging. 2021 12; 14(12):2301-2302.
    View in: PubMed
    Score: 0.023
  20. Urgent Cesarean Delivery Following Nonstress Test in a Patient with COVID-19 and Pregestational Diabetes. Neoreviews. 2020 09; 21(9):e625-e630.
    View in: PubMed
    Score: 0.021
  21. Video-based AI for beat-to-beat assessment of cardiac function. Nature. 2020 04; 580(7802):252-256.
    View in: PubMed
    Score: 0.021
  22. Complications associated with second trimester inductions of labor requiring greater than five doses of misoprostol. Contraception. 2020 01; 101(1):53-55.
    View in: PubMed
    Score: 0.020
  23. Strip of the Month: Recurrent Late Decelerations in a Patient with HELLP Syndrome. Neoreviews. 2019 01; 20(1):e48-e55.
    View in: PubMed
    Score: 0.019
  24. Patient Outcomes when Housestaff Exceed 80 Hours per Week. Am J Med. 2016 09; 129(9):993-999.e1.
    View in: PubMed
    Score: 0.016
  25. Perinatal and obstetric outcomes of dichorionic vs trichorionic triplet pregnancies. Am J Obstet Gynecol. 2016 May; 214(5):659.e1-5.
    View in: PubMed
    Score: 0.015
  26. Clinical implementation of noninvasive prenatal testing among maternal fetal medicine specialists. Prenat Diagn. 2014 May; 34(5):416-23.
    View in: PubMed
    Score: 0.014
  27. Hyperammonemic coma in an ornithine transcarbamylase mutation carrier following antepartum corticosteroids. J Perinatol. 2011 Oct; 31(10):682-4.
    View in: PubMed
    Score: 0.012
  28. Obstetric outcomes in pregnant women with congenital heart disease. Int J Cardiol. 2010 Oct 08; 144(2):195-9.
    View in: PubMed
    Score: 0.010
  29. 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: 0.007
  30. Ratio of interventricular septal thickness to global longitudinal strain accurately identifies cardiac amyloidosis. Open Heart. 2025 May 14; 12(1).
    View in: PubMed
    Score: 0.007
  31. 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: 0.007
  32. AI-echocardiography: Current status and future direction. J Cardiol. 2025 Jun; 85(6):458-464.
    View in: PubMed
    Score: 0.007
  33. Sex-Divergent Blood Pressure Associations With Multiorgan System Metabolic Stress-Brief Report. Arterioscler Thromb Vasc Biol. 2025 Apr; 45(4):557-561.
    View in: PubMed
    Score: 0.007
  34. The ImageGuideEcho Registry: Using Data Science to Understand and Improve Echocardiography. Curr Cardiol Rep. 2025 Jan 29; 27(1):41.
    View in: PubMed
    Score: 0.007
  35. PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans. Nat Commun. 2024 11 07; 15(1):9660.
    View in: PubMed
    Score: 0.007
  36. 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: 0.007
  37. Artificial Intelligence in Cardiovascular Care-Part 2: Applications: JACC Review Topic of the Week. J Am Coll Cardiol. 2024 Jun 18; 83(24):2487-2496.
    View in: PubMed
    Score: 0.007
  38. Artificial Intelligence for Cardiovascular Care-Part 1: Advances: JACC Review Topic of the Week. J Am Coll Cardiol. 2024 Jun 18; 83(24):2472-2486.
    View in: PubMed
    Score: 0.007
  39. Sex Differences in Association of Physical Activity With All-Cause and Cardiovascular Mortality. J Am Coll Cardiol. 2024 02 27; 83(8):783-793.
    View in: PubMed
    Score: 0.007
  40. Machine Learning and Bias in Medical Imaging: Opportunities and Challenges. Circ Cardiovasc Imaging. 2024 02; 17(2):e015495.
    View in: PubMed
    Score: 0.007
  41. Blood pressure variability supersedes heart rate variability as a real-world measure of dementia risk. Sci Rep. 2024 01 22; 14(1):1838.
    View in: PubMed
    Score: 0.007
  42. Severe aortic stenosis detection by deep learning applied to echocardiography. Eur Heart J. 2023 11 14; 44(43):4592-4604.
    View in: PubMed
    Score: 0.007
  43. Deep Learning for Cardiovascular Imaging: A Review. JAMA Cardiol. 2023 11 01; 8(11):1089-1098.
    View in: PubMed
    Score: 0.007
  44. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation. 2023 08 29; 148(9):765-777.
    View in: PubMed
    Score: 0.007
  45. Association of sickle cell trait with adverse pregnancy outcomes in a population-based cohort. Acta Obstet Gynecol Scand. 2023 08; 102(8):1100-1105.
    View in: PubMed
    Score: 0.007
  46. 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: 0.006
  47. Deep learning-enabled analysis of medical images identifies cardiac sphericity as an early marker of cardiomyopathy and related outcomes. Med. 2023 04 14; 4(4):252-262.e3.
    View in: PubMed
    Score: 0.006
  48. 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: 0.006
  49. 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: 0.006
  50. Influence of the COVID-19 Pandemic on Author Sex and Manuscript Acceptance Rates among Pulmonary and Critical Care Journals. Ann Am Thorac Soc. 2023 02; 20(2):215-225.
    View in: PubMed
    Score: 0.006
  51. Current and Future Applications of Artificial Intelligence in Cardiac CT. Curr Cardiol Rep. 2023 03; 25(3):109-117.
    View in: PubMed
    Score: 0.006
  52. 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: 0.006
  53. Cardiac microstructural alterations in immune-inflammatory myocardial disease: a retrospective case-control study. Cardiovasc Ultrasound. 2022 Apr 04; 20(1):9.
    View in: PubMed
    Score: 0.006
  54. Sex Differences in Myocardial and Vascular Aging. Circ Res. 2022 02 18; 130(4):566-577.
    View in: PubMed
    Score: 0.006
  55. Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
    View in: PubMed
    Score: 0.006
  56. The Association between Maternal Body Mass Index and the Risk of Perinatal Depression. Am J Perinatol. 2023 01; 40(2):222-226.
    View in: PubMed
    Score: 0.006
  57. 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: 0.006
  58. How to evaluate deep learning for cancer diagnostics - factors and recommendations. Biochim Biophys Acta Rev Cancer. 2021 04; 1875(2):188515.
    View in: PubMed
    Score: 0.006
  59. Comparison of QT Interval Measurement Methods and Correction Formulas in Atrial Fibrillation. Am J Cardiol. 2019 06 01; 123(11):1822-1827.
    View in: PubMed
    Score: 0.005
  60. Recurrent Non Immune Fetal Hydrops Associated With IPEX Syndrome. Pediatr Dev Pathol. 2019 Oct; 22(5):465-471.
    View in: PubMed
    Score: 0.005
  61. Sleep disordered breathing in a high-risk cohort prevalence and severity across pregnancy. Am J Perinatol. 2014 Nov; 31(10):899-904.
    View in: PubMed
    Score: 0.003
  62. Implications of sleep-disordered breathing in pregnancy. Am J Obstet Gynecol. 2014 Jun; 210(6):559.e1-6.
    View in: PubMed
    Score: 0.003
  63. Development of a pregnancy-specific screening tool for sleep apnea. J Clin Sleep Med. 2012 Aug 15; 8(4):389-94.
    View in: PubMed
    Score: 0.003
  64. Pregnancy outcomes in women with congenital heart disease. Circulation. 2006 Jan 31; 113(4):517-24.
    View in: PubMed
    Score: 0.002
  65. Surgical therapy for pulmonary aspergillosis in immunocompromised patients. Ann Thorac Surg. 1998 May; 65(5):1415-9.
    View in: PubMed
    Score: 0.001
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.