Rushlow, David R.

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

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

Optimizing Huddle Engagement Through Leadership and Problem Solving Within Primary Care: Results from a Cluster-Randomized Trial

Lampman, M. A., Chandrasekaran, A., Branda, M. E., Tumerman, M. D., Ward, P., Staats, B., Johnson, T., Giblon, R., Shah, N. D., & Rushlow, D. R. (2021) · Journal of General Internal Medicine

Team Dynamics and PerformanceInterprofessional Education and Collaboration

Cited by 10

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