Kapa, Suraj

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

Attia, Z. I., Noseworthy, P. A., Lopez-Jimenez, F., Asirvatham, S. J., Deshmukh, A. J., Gersh, B. J., Carter, R. E., Yao, X., Rabinstein, A. A., Erickson, B. J., et al. (2019) · The Lancet

ECG Monitoring and AnalysisAtrial Fibrillation Management and Outcomes

Cited by 1,613

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

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

Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled electrocardiogram

Ko, W.-Y., Siontis, K. C., Attia, Z. I., Carter, R. E., Kapa, S., Ommen, S. R., Demuth, S. J., Ackerman, M. J., Gersh, B. J., Arruda-Olson, A. M., et al. (2020) · Journal of the American College of Cardiology

ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

Cited by 404

Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis

Noseworthy, P. A., Attia, Z. I., Brewer, L. C., Hayes, S. N., Yao, X., Kapa, S., Friedman, P. A., & Lopez-Jimenez, F. (2020) · Circulation: Arrhythmia and Electrophysiology

Artificial Intelligence in Healthcare and EducationECG Monitoring and Analysis

Cited by 220

Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis

Grogan, M., Lopez-Jimenez, F., Cohen-Shelly, M., Dispenzieri, A., Attia, Z. I., Abou Ezzedine, O. F., Lin, G., Kapa, S., Borgeson, D. D., Friedman, P. A., et al. (2021) · Mayo Clinic Proceedings

Amyloidosis: Diagnosis, Treatment, OutcomesECG Monitoring and Analysis

Cited by 166

Psychopathology in Patients with ICDs over Time: Results of a Prospective Study

KAPA, S., ROTONDI-TREVISAN, D., MARIANO, Z., AVES, T., IRVINE, J., DORIAN, P., & HAYES, D. L. (2010) · Pacing and Clinical Electrophysiology

Cardiac pacing and defibrillation studiesCardiac Health and Mental Health

Cited by 112

Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population

Kashou, A. H., Medina-Inojosa, J. R., Noseworthy, P. A., Rodeheffer, R. J., Lopez-Jimenez, F., Attia, I. Z., Kapa, S., Scott, C. G., Lee, A. T., Friedman, P. A., et al. (2021) · Mayo Clinic Proceedings

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 66

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

An electrocardiogram-based AI algorithm for early detection of pulmonary hypertension

DuBrock, H. M., Wagner, T. E., Carlson, K., Carpenter, C. L., Awasthi, S., Attia, Z. I., Frantz, R. P., Friedman, P. A., Kapa, S., Annis, J., et al. (2024) · European Respiratory Journal

ECG Monitoring and AnalysisPulmonary Hypertension Research and Treatments

Cited by 38

Real-World Performance, Long-Term Efficacy, and Absence of Bias in the Artificial Intelligence Enhanced Electrocardiogram to Detect Left Ventricular Systolic Dysfunction

Harmon, D. M., Carter, R. E., Cohen-Shelly, M., Svatikova, A., Adedinsewo, D. A., Noseworthy, P. A., Kapa, S., Lopez-Jimenez, F., Friedman, P. A., & Attia, Z. I. (2022) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 35