Johnson, Kipp W.

Artificial intelligence in cardiology

Johnson, K. W., Torres Soto, J., Glicksberg, B. S., Shameer, K., Miotto, R., Ali, M., Ashley, E., & Dudley, J. T. (2018) · Journal of the American College of Cardiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1,202

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Lala, A., Johnson, K. W., Januzzi, J. L., Russak, A. J., Paranjpe, I., Richter, F., Zhao, S., Somani, S., Van Vleck, T., Vaid, A., et al. (2020) · Journal of the American College of Cardiology

COVID-19 Clinical Research StudiesTakotsubo Cardiomyopathy and Associated Phenomena

Cited by 791

Machine learning in cardiovascular medicine: are we there yet?

Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018) · Heart

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 555

Pathology of Peripheral Artery Disease in Patients With Critical Limb Ischemia

Narula, N., Dannenberg, A. J., Olin, J. W., Bhatt, D. L., Johnson, K. W., Nadkarni, G., Min, J., Torii, S., Poojary, P., Anand, S. S., et al. (2018) · Journal of the American College of Cardiology

Peripheral Artery Disease ManagementAortic Thrombus and Embolism

Cited by 326

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

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Vaid, A., Jaladanki, S. K., Xu, J., Teng, S., Kumar, A., Lee, S., Somani, S., Paranjpe, I., Freitas, J. K. D., Wanyan, T., et al. (2020) · JMIR Medical Informatics

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 253

Integrating blockchain technology with artificial intelligence for cardiovascular medicine

Krittanawong, C., Rogers, A. J., Aydar, M., Choi, E., Johnson, K. W., Wang, Z., & Narayan, S. M. (2020) · Nature Reviews Cardiology

Blockchain Technology Applications and SecurityArtificial Intelligence in Healthcare and Education

Cited by 113

Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine

Johnson, K. W., Shameer, K., Glicksberg, B. S., Readhead, B., Sengupta, P. P., Björkegren, J. L. M., Kovacic, J. C., & Dudley, J. T. (2017) · JACC: Basic to Translational Science

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 83

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Glicksberg, B. S., Oskotsky, B., Thangaraj, P. M., Giangreco, N., Badgeley, M. A., Johnson, K. W., Datta, D., Rudrapatna, V. A., Rappoport, N., Shervey, M. M., et al. (2019) · Bioinformatics

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 45