Admon, Andrew J.

Factors associated with death in critically ill patients with coronavirus disease 2019 in the US

Gupta, S., Hayek, S. S., Wang, W., Chan, L., Mathews, K. S., Melamed, M. L., Brenner, S. K., Leonberg-Yoo, A., Schenck, E. J., Radbel, J., et al. (2020) · JAMA Internal Medicine

COVID-19 Clinical Research StudiesSepsis Diagnosis and Treatment

Cited by 957

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Cummings, B. C., Ansari, S., Motyka, J. R., Wang, G., Medlin Jr, R. P., Kronick, S. L., Singh, K., Park, P. K., Napolitano, L. M., Dickson, R. P., et al. (2021) · JMIR Medical Informatics

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 35

Challenges in the postmarket surveillance of clinical prediction models.

Ansari, S., Baur, B., Singh, K., & Admon, A. J. (2025) · NEJM AI

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 22

External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems

Cummings, B. C., Blackmer, J. M., Motyka, J. R., Farzaneh, N., Cao, L., Bisco, E. L., Glassbrook, J. D., Roebuck, M. D., Gillies, C. E., Admon, A. J., et al. (2023) · Critical Care Medicine

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 19

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Rountree, L., Lin, Y.-T., Liu, C., Salvatore, M., Admon, A., Nallamothu, B., Singh, K., Basu, A., Bu, F., & Mukherjee, B. (2025) · Online Journal of Public Health Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 13