Pellikka, Patricia A.

Recommendations for Chamber Quantification: A Report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, Developed in Conjunction with the European Association of Echocardiography, a Branch of the European Society of Cardiology

Lang, R. M., Bierig, M., Devereux, R. B., Flachskampf, F. A., Foster, E., Pellikka, P. A., Picard, M. H., Roman, M. J., Seward, J., Shanewise, J. S., et al. (2005) · Journal of the American Society of Echocardiography

Cardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics

Cited by 11,318

Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography

Nagueh, S. F., Appleton, C. P., Gillebert, T. C., Marino, P. N., Oh, J. K., Smiseth, O. A., Waggoner, A. D., Flachskampf, F. A., Pellikka, P. A., & Evangelista, A. (2009) · Journal of the American Society of Echocardiography

Cardiovascular Function and Risk FactorsCardiac Valve Diseases and Treatments

Cited by 4,367

Recommendations for the evaluation of left ventricular diastolic function by echocardiography

Nagueh, S. F., Appleton, C. P., Gillebert, T. C., Marino, P. N., Oh, J. K., Smiseth, O. A., Waggoner, A. D., Flachskampf, F. A., Pellikka, P. A., & Evangelisa, A. (2008) · European Journal of Echocardiography

Cardiovascular Function and Risk FactorsCardiac Valve Diseases and Treatments

Cited by 3,351

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

Attia, Z. I., Kapa, S., Lopez-Jimenez, F., McKie, P. M., Ladewig, D. J., Satam, G., Pellikka, P. A., Enriquez-Sarano, M., Noseworthy, P. A., Munger, T. M., et al. (2019) · Nature Medicine

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 1,389

EAE/ASE Recommendations for Image Acquisition and Display Using Three-Dimensional Echocardiography

Lang, R. M., Badano, L. P., Tsang, W., Adams, D. H., Agricola, E., Buck, T., Faletra, F. F., Franke, A., Hung, J., Pérez de Isla, L., et al. (2012) · Journal of the American Society of Echocardiography

Cardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics

Cited by 1,129

Echocardiographic assessment of valve stenosis: EAE/ASE recommendations for clinical practice

Baumgartner, H., Hung, J., Bermejo, J., Chambers, J. B., Evangelista, A., Griffin, B. P., Iung, B., Otto, C. M., Pellikka, P. A., & Quinones, M. (2009) · European Journal of Echocardiography

Cardiac Valve Diseases and TreatmentsCardiovascular Function and Risk Factors

Cited by 967

Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

Yao, X., Rushlow, D. R., Inselman, J. W., McCoy, R. G., Thacher, T. D., Behnken, E. M., Bernard, M. E., Rosas, S. L., Akfaly, A., Misra, A., et al. (2021) · Nature Medicine

Artificial Intelligence in Healthcare and EducationECG Monitoring and Analysis

Cited by 424

Variability in Ejection Fraction Measured By Echocardiography, Gated Single-Photon Emission Computed Tomography, and Cardiac Magnetic Resonance in Patients With Coronary Artery Disease and Left Ventricular Dysfunction

Pellikka, P. A., She, L., Holly, T. A., Lin, G., Varadarajan, P., Pai, R. G., Bonow, R. O., Pohost, G. M., Panza, J. A., Berman, D. S., et al. (2018) · JAMA Network Open

Cardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics

Cited by 238

Prognostic value of treadmill exercise testing in elderly persons.

Goraya, T. Y., Jacobsen, S. J., Pellikka, P. A., Miller, T. D., Khan, A., Weston, S. A., Gersh, B. J., & Roger, V. L. (2000) · Annals of Internal Medicine

Cardiovascular and exercise physiologyCardiac Imaging and Diagnostics

Cited by 234

Effect of Left Ventricular Ejection Fraction on Postoperative Outcome in Patients With Severe Aortic Stenosis Undergoing Aortic Valve Replacement

Dahl, J. S., Eleid, M. F., Michelena, H. I., Scott, C. G., Suri, R. M., Schaff, H. V., & Pellikka, P. A. (2015) · Circulation: Cardiovascular Imaging

Cardiac Valve Diseases and TreatmentsAortic Disease and Treatment Approaches

Cited by 145

A randomized trial of pocket-echocardiography integrated mobile health device assessments in modern structural heart disease clinics

Bhavnani, S. P., Sola, S., Adams, D., Venkateshvaran, A., Dash, P. K., Sengupta, P. P., Bhavnani, S., Sola, S., Venkateshvaran, A., Adams, D., et al. (2018) · JACC: Cardiovascular Imaging

Cardiac Valve Diseases and TreatmentsMobile Health and mHealth Applications

Cited by 81

Vascular abnormalities in primary amyloidosis

Modesto, K. M., Dispenzieri, A., Gertz, M., Cauduro, S. A., Khandheria, B. K., Seward, J. B., Kyle, R., Wood, C. M., Bailey, K. R., Tajik, A. J., et al. (2007) · European Heart Journal

Amyloidosis: Diagnosis, Treatment, OutcomesCardiovascular Health and Disease Prevention

Cited by 65

Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope

Attia, Z. I., Dugan, J., Rideout, A., Maidens, J. N., Venkatraman, S., Guo, L., Noseworthy, P. A., Pellikka, P. A., Pham, S. L., Kapa, S., et al. (2022) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisPhonocardiography and Auscultation Techniques

Cited by 46

Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.

Rushlow, D. R., Croghan, I. T., Inselman, J. W., Thacher, T. D., Friedman, P. A., Yao, X., Pellikka, P. A., Lopez-Jimenez, F., Bernard, M. E., Barry, B. A., et al. (2022) · Mayo Clinic Proceedings

Artificial Intelligence in Healthcare and EducationECG Monitoring and Analysis

Cited by 33

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

Integrating AI-ECG and point-of-care cardiac ultrasound for screening structural heart disease: A proof-of-concept study

Alexandrino, F. B., Schlesinger, R., Bird, J., Lee, E., Deshmukh, A. J., Nkomo, V. T., Oh, J. K., Noseworthy, P. A., Pellikka, P. A., Attia, Z., et al. (2026) · American Heart Journal

Ultrasound in Clinical ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 5