Inselman, Jonathan W.

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

Randomized comparison of a reduced-visit prenatal care model enhanced with remote monitoring

Butler Tobah, Y. S., LeBlanc, A., Branda, M. E., Inselman, J. W., Morris, M. A., Ridgeway, J. L., Finnie, D. M., Theiler, R., Torbenson, V. E., Brodrick, E. M., et al. (2019) · American Journal of Obstetrics and Gynecology

Maternal and Neonatal HealthcareTelemedicine and Telehealth Implementation

Cited by 212

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

Association of area-level socioeconomic deprivation with hypoglycemic and hyperglycemic crises in US adults with diabetes

Kurani, S. S., Heien, H. C., Sangaralingham, L. R., Inselman, J. W., Shah, N. D., Golden, S. H., & McCoy, R. G. (2022) · JAMA Network Open

Diabetes Management and ResearchHealth disparities and outcomes

Cited by 70

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