Asirvatham, Samuel J.

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

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

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

Galloway, C. D., Valys, A. V., Shreibati, J. B., Treiman, D. L., Petterson, F. L., Gundotra, V. P., Albert, D. E., Attia, Z. I., Carter, R. E., Asirvatham, S. J., et al. (2019) · JAMA Cardiology

ECG Monitoring and AnalysisPotassium and Related Disorders

Cited by 318

Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction

Attia, Z. I., Harmon, D. M., Dugan, J., Manka, L., Lopez-Jimenez, F., Lerman, A., Siontis, K. C., Noseworthy, P. A., Yao, X., Klavetter, E. W., et al. (2022) · Nature Medicine

ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

Cited by 154

Catheter ablation for atrial fibrillation in patients with obesity

Cha, Y.-M., Friedman, P. A., Asirvatham, S. J., Shen, W.-K., Munger, T. M., Rea, R. F., Brady, P. A., Jahangir, A., Monahan, K. H., Hodge, D. O., et al. (2008) · Circulation

Atrial Fibrillation Management and OutcomesCardiac Arrhythmias and Treatments

Cited by 110

Substrate and procedural predictors of outcomes after catheter ablation for atrial fibrillation in patients with hypertrophic cardiomyopathy

BUNCH, T. J., MUNGER, T. M., FRIEDMAN, P. A., ASIRVATHAM, S. J., BRADY, P. A., CHA, Y., REA, R. F., SHEN, W., POWELL, B. D., OMMEN, S. R., et al. (2008) · Journal of Cardiovascular Electrophysiology

Atrial Fibrillation Management and OutcomesCardiac Arrhythmias and Treatments

Cited by 109

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

Outcome of direct current cardioversion for atrial arrhythmias in adults with congenital heart disease

Ammash, N. M., Phillips, S. D., Hodge, D. O., Connolly, H. M., Grogan, M. A., Friedman, P. A., Warnes, C. A., & Asirvatham, S. J. (2012) · International Journal of Cardiology

Cardiac Arrhythmias and TreatmentsCongenital Heart Disease Studies

Cited by 55

Ablating Premature Ventricular Complexes: Justification, Techniques, and Outcomes

Noheria, A., Deshmukh, A., & Asirvatham, S. J. (2015) · Methodist DeBakey Cardiovascular Journal

Cardiac Arrhythmias and TreatmentsCardiac electrophysiology and arrhythmias

Cited by 54

Contemporary utilization and safety outcomes of catheter ablation of atrial flutter in the United States: analysis of 89,638 procedures

Patel, N. J., Deshmukh, A., Pau, D., Goyal, V., Patel, S. V., Patel, N., Agnihotri, K., Asirvatham, S., Noseworthy, P., Di Biase, L., et al. (2016) · Heart Rhythm

Cardiac Arrhythmias and TreatmentsAtrial Fibrillation Management and Outcomes

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

Effect of radiofrequency ablation of atrial flutter on the natural history of subsequent atrial arrhythmias

LURIA, D. M., HODGE, D. O., MONAHAN, K. H., HAROLDSON, J. M., SHEN, W., ASIRVATHAM, S. J., HAMMILL, S. C., MUNGER, T. M., GLIKSON, M., GERSH, B. J., et al. (2008) · Journal of Cardiovascular Electrophysiology

Atrial Fibrillation Management and OutcomesCardiac Arrhythmias and Treatments

Cited by 34