Hartzel, Dustin N.

Genetic identification of familial hypercholesterolemia within a single U.S. health care system

Abul-Husn, N. S., Manickam, K., Jones, L. K., Wright, E. A., Hartzel, D. N., Gonzaga-Jauregui, C., O’Dushlaine, C., Leader, J. B., Lester Kirchner, H., Lindbuchler, D. M., et al. (2016) · Science

Lipoproteins and Cardiovascular HealthGenomics and Rare Diseases

Cited by 425

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Raghunath, S., Ulloa Cerna, A. E., Jing, L., vanMaanen, D. P., Stough, J., Hartzel, D. N., Leader, J. B., Kirchner, H. L., Stumpe, M. C., Hafez, A., et al. (2020) · Nature Medicine

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 314

Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation-related stroke

Raghunath, S., Pfeifer, J. M., Ulloa-Cerna, A. E., Nemani, A., Carbonati, T., Jing, L., vanMaanen, D. P., Hartzel, D. N., Ruhl, J. A., Lagerman, B. F., et al. (2021) · Circulation

ECG Monitoring and AnalysisAtrial Fibrillation Management and Outcomes

Cited by 312

Association of rare and common variation in the lipoprotein lipase gene with coronary artery disease

Khera, A. V., Won, H.-H., Peloso, G. M., O’Dushlaine, C., Liu, D., Stitziel, N. O., Natarajan, P., Nomura, A., Emdin, C. A., Gupta, N., et al. (2017) · JAMA

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 198

Detecting structural heart disease from electrocardiograms using AI

Poterucha, T. J., Jing, L., Ricart, R. P., Adjei-Mosi, M., Finer, J., Hartzel, D., Kelsey, C., Long, A., Rocha, D., Ruhl, J. A., et al. (2025) · Nature

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 116

A genome-wide association study of polycystic ovary syndrome identified from electronic health records

Zhang, Y., Ho, K., Keaton, J. M., Hartzel, D. N., Day, F., Justice, A. E., Josyula, N. S., Pendergrass, S. A., Actkins, K., Davis, L. K., et al. (2020) · American Journal of Obstetrics and Gynecology

Ovarian function and disordersGenetic Associations and Epidemiology

Cited by 91