Friedman, Paul A.

ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial

Yao, X., McCoy, R. G., Friedman, P. A., Shah, N. D., Barry, B. A., Behnken, E. M., Inselman, J. W., Attia, Z. I., & Noseworthy, P. A. (2020) · American Heart Journal

Artificial Intelligence in Healthcare and EducationECG Monitoring and Analysis

Cited by 98

The impact of continuous positive airway pressure treatment on the recurrence of atrial fibrillation post cardioversion: A randomized controlled trial

Caples, S. M., Mansukhani, M. P., Friedman, P. A., & Somers, V. K. (2019) · International Journal of Cardiology

Obstructive Sleep Apnea ResearchAtrial Fibrillation Management and Outcomes

Cited by 83

Is sinus node modification appropriate for inappropriate sinus tachycardia with features of postural orthostatic tachycardia syndrome?

SHEN, W., LOW, P. A., JAHANGIR, A., MUNGER, T. M., FRIEDMAN, P. A., OSBORN, M. J., STANTON, M. S., PACKER, D. L., REA, R. F., & HAMMILL, S. C. (2001) · Pacing and Clinical Electrophysiology

Cardiovascular Syncope and Autonomic DisordersHeart Rate Variability and Autonomic Control

Cited by 69

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

Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial

Adedinsewo, D. A., Morales-Lara, A. C., Afolabi, B. B., Kushimo, O. A., Mbakwem, A. C., Ibiyemi, K. F., Ogunmodede, J. A., Raji, H. O., Ringim, S. H., Habib, A. A., et al. (2024) · Nature Medicine

Cardiovascular Issues in PregnancyArtificial Intelligence in Healthcare and Education

Cited by 63

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

Artificial intelligence electrocardiogram as a novel screening tool to detect a newly abnormal left ventricular ejection fraction after anthracycline-based cancer therapy

Jacobs, J. E. J., Greason, G., Mangold, K. E., Wildiers, H., Willems, R., Janssens, S., Noseworthy, P., Lopez-Jimenez, F., Voigt, J.-U., Friedman, P., et al. (2024) · European Journal of Preventive Cardiology

Chemotherapy-induced cardiotoxicity and mitigationECG Monitoring and Analysis

Cited by 49

Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis

Harmon, D. M., Mangold, K., Baez Suarez, A., Scott, C. G., Murphree, D. H., Malik, A., Attia, Z. I., Lopez-Jimenez, F., Friedman, P. A., Dispenzieri, A., et al. (2023) · JACC: Advances

Amyloidosis: Diagnosis, Treatment, OutcomesECG Monitoring and Analysis

Cited by 47

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

Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study

Siontis, K. C., Wieczorek, M. A., Maanja, M., Hodge, D. O., Kim, H.-K., Lee, H.-J., Lee, H., Lim, J., Park, C. S., Ariga, R., et al. (2024) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisCardiomyopathy and Myosin Studies

Cited by 44

Assessment of disease status and treatment response with artificial Intelligence- Enhanced electrocardiography in obstructive hypertrophic cardiomyopathy

Tison, G. H., Siontis, K. C., Abreau, S., Attia, Z., Agarwal, P., Balasubramanyam, A., Li, Y., Sehnert, A. J., Edelberg, J. M., Friedman, P. A., et al. (2022) · Journal of the American College of Cardiology

Cardiomyopathy and Myosin StudiesECG Monitoring and Analysis

Cited by 42

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

Saliency Maps Provide Insights into Artificial Intelligence-Based Electrocardiography Models for Detecting Hypertrophic Cardiomyopathy

Siontis, K. C., Suárez, A. B., Sehrawat, O., Ackerman, M. J., Attia, Z. I., Friedman, P. A., Noseworthy, P. A., & Maanja, M. (2023) · Journal of Electrocardiology

ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

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

Relapse and mortality following cardioversion of new-onset vs. recurrent atrial fibrillation and atrial flutter in the elderly

Elesber, A. A., Rosales, A. G., Herges, R. M., Shen, W.-K., Moon, B. S., Malouf, J. F., Ammash, N. M., Somers, V., Hodge, D. O., Gersh, B. J., et al. (2006) · European Heart Journal

Atrial Fibrillation Management and OutcomesCardiac Arrhythmias and Treatments

Cited by 34

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

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

NON-INVASIVE DETECTION OF HYPERKALEMIA WITH A SMARTPHONE ELECTROCARDIOGRAM AND ARTIFICIAL INTELLIGENCE

Galloway, C. D., Valys, A. V., Petterson, F. L., Gundotra, V. P., Treiman, D. L., Albert, D. E., Dillon, J. J., Attia, Z. I., & Friedman, P. A. (2018) · Journal of the American College of Cardiology

ECG Monitoring and AnalysisPotassium and Related Disorders

Cited by 17

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

PREDICTION OF THE HEART RATE CORRECTED QT INTERVAL (QTC) FROM A NOVEL, MULTILEAD SMARTPHONE-ENABLED ECG USING A DEEP NEURAL NETWORK

Schram, M., Shreibati, J. B., Bos, M., Galloway, C., Valys, A., Petterson, F., Gundotra, V., Albert, D., Attia, Z. I., Noseworthy, P., et al. (2019) · Journal of the American College of Cardiology

ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

Cited by 6

A multicenter pragmatic implementation study of AI-ECG-based clinical decision support software to identify low LVEF: Clinical trial design and methods

Lopez-Jimenez, F., Alger, H. M., Attia, Z. I., Barry, B., Chatterjee, R., Dolor, R., Friedman, P. A., Greene, S. J., Greenwood, J., Gundurao, V., et al. (2025) · American Heart Journal Plus: Cardiology Research and Practice

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 6

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