Lee, Eunjung

Artificial Intelligence-Enabled ECG for Left Ventricular Diastolic Function and Filling Pressure

Lee, E., Ito, S., Miranda, W. R., Lopez-Jimenez, F., Kane, G. C., Asirvatham, S. J., Noseworthy, P. A., Friedman, P. A., Carter, R. E., Borlaug, B. A., et al. (2024) · npj Digital Medicine

ECG Monitoring and AnalysisCardiovascular Function and Risk Factors

Cited by 106

Artificial Intelligence–Enhanced Electrocardiography Identifies Patients with Normal Ejection Fraction at Risk of Worse Outcomes

Naser, J. A., Lee, E., Lopez-Jimenez, F., Noseworthy, P. A., Latif, O. S., Friedman, P. A., Lin, G., Oh, J. K., Scott, C. G., Pislaru, S. V., et al. (2024) · JACC: Advances

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 8

Prognostic Value of Artificial Intelligence–Enabled Electrocardiography–Derived Diastolic Dysfunction Grading and Trajectory in Patients Undergoing Transcatheter Aortic Valve Replacement

Tsai, C., Naser, J. A., Tsaban, G., Lee, E., Wood, J., Luis, A. S., Thaden, J. J., Kane, G. C., Pislaru, S. V., Simard, T. J., et al. (2026) · Journal of the American Heart Association

Cardiac Valve Diseases and TreatmentsCardiovascular Function and Risk Factors

Cited by 5