Singh, Karandeep

Assessing the net benefit of machine learning models in the presence of resource constraints

Singh, K., Shah, N. H., & Vickers, A. J. (2023) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 21

The Chief Health AI Officer — An Emerging Role for an Emerging Technology

Beecy, A. N., Longhurst, C. A., Singh, K., Wachter, R. M., & Murray, S. G. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 20

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

Alert Timing in Sepsis Prediction Models—An Opportunity to Tailor Interventions

Balczewski, E. A., Lyons, P. G., & Singh, K. (2023) · JAMA Network Open

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 2