Friedman, Paul A.

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

Association of Atrial Fibrillation and Obstructive Sleep Apnea

Gami, A. S., Pressman, G., Caples, S. M., Kanagala, R., Gard, J. J., Davison, D. E., Malouf, J. F., Ammash, N. M., Friedman, P. A., & Somers, V. K. (2004) · Circulation

Obstructive Sleep Apnea ResearchAtrial Fibrillation Management and Outcomes

Cited by 1,148

Obstructive Sleep Apnea and the Recurrence of Atrial Fibrillation

Kanagala, R., Murali, N. S., Friedman, P. A., Ammash, N. M., Gersh, B. J., Ballman, K. V., M. Shamsuzzaman, A. S., & Somers, V. K. (2003) · Circulation

Obstructive Sleep Apnea ResearchAtrial Fibrillation Management and Outcomes

Cited by 983

Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

Siontis, K. C., Noseworthy, P. A., Attia, Z. I., & Friedman, P. A. (2021) · Nature Reviews Cardiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 914

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

Long-Term Progression and Outcomes With Aging in Patients With Lone Atrial Fibrillation: A 30-Year Follow-Up Study

Jahangir, A., Lee, V., Friedman, P. A., Trusty, J. M., Hodge, D. O., Kopecky, S. L., Packer, D. L., Hammill, S. C., Shen, W.-K., & Gersh, B. J. (2007) · Circulation

Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmias

Cited by 392

Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association

Armoundas, A. A., Narayan, S. M., Arnett, D. K., Spector-Bagdady, K., Bennett, D. A., Celi, L. A., Friedman, P. A., Gollob, M. H., Hall, J. L., Kwitek, A. E., et al. (2024) · Circulation

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 347

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

Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial

Noseworthy, P. A., Attia, Z. I., Behnken, E. M., Giblon, R. E., Bews, K. A., Liu, S., Gosse, T. A., Linn, Z. D., Deng, Y., Yin, J., et al. (2022) · The Lancet

Atrial Fibrillation Management and OutcomesECG Monitoring and Analysis

Cited by 257

Electrocardiogram screening for aortic valve stenosis using artificial intelligence

Cohen-Shelly, M., Attia, Z. I., Friedman, P. A., Ito, S., Essayagh, B. A., Ko, W.-Y., Murphree, D. H., Michelena, H. I., Enriquez-Sarano, M., Carter, R. E., et al. (2021) · European Heart Journal

Cardiac Valve Diseases and TreatmentsECG Monitoring and Analysis

Cited by 252

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

Improved suppression of recurrent atrial fibrillation with dual-site right atrial pacing and antiarrhythmic drug therapy

Saksena, S., Prakash, A., Ziegler, P., Hummel, J. D., Friedman, P., Plumb, V. J., Wyse, D. G., Johnson, E., Fitts, S., & Mehra, R. (2002) · Journal of the American College of Cardiology

Cardiac pacing and defibrillation studiesAtrial Fibrillation Management and Outcomes

Cited by 171

Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department with Dyspnea

Adedinsewo, D., Carter, R. E., Attia, Z., Johnson, P., Kashou, A. H., Dugan, J. L., Albus, M., Sheele, J. M., Bellolio, F., Friedman, P. A., et al. (2020) · Circulation: Arrhythmia and Electrophysiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 169

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

Artificial intelligence in cardiovascular medicine: clinical applications

Lüscher, T. F., Wenzl, F. A., D’Ascenzo, F., Friedman, P. A., & Antoniades, C. (2024) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 160

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

The natural history of lone atrial flutter

Halligan, S. C., Gersh, B. J., Brown, R. D., Rosales, A. G., Munger, T. M., Shen, W.-K., Hammill, S. C., & Friedman, P. A. (2004) · Annals of Internal Medicine

Atrial Fibrillation Management and OutcomesCardiac Arrhythmias and Treatments

Cited by 127

Global Right Atrial Mapping of Human Atrial Flutter: The Presence of Posteromedial (Sinus Venosa Region) Functional Block and Double Potentials: A Study in Biplane Fluoroscopy and Intracardiac Echocardiography

Friedman, P. A., Luria, D., Fenton, A. M., Munger, T. M., Jahangir, A., Shen, W. K., Rea, R. F., Stanton, M. S., Hammill, S. C., & Packer, D. L. (2000) · Circulation

Cardiac Arrhythmias and TreatmentsCardiac electrophysiology and arrhythmias

Cited by 117

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

Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: proceedings of the European Society of Cardiology cardiovascular round table

Leclercq, C., Witt, H., Hindricks, G., Katra, R. P., Albert, D., Belliger, A., Cowie, M. R., Deneke, T., Friedman, P., Haschemi, M., et al. (2022) · EP Europace

ECG Monitoring and AnalysisMobile Health and mHealth Applications

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