Lin, Anthony

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Sendak, M. P., Ratliff, W., Sarro, D., Alderton, E., Futoma, J., Gao, M., Nichols, M., Revoir, M., Yashar, F., Miller, C., et al. (2020) · JMIR Medical Informatics

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 287

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

Sandhu, S., Lin, A. L., Brajer, N., Sperling, J., Ratliff, W., Bedoya, A. D., Balu, S., O'Brien, C., & Sendak, M. P. (2020) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 168

Machine learning for early detection of sepsis: an internal and temporal validation study

Bedoya, A. D., Futoma, J., Clement, M. E., Corey, K., Brajer, N., Lin, A., Simons, M. G., Gao, M., Nichols, M., Balu, S., et al. (2020) · JAMIA Open

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 109

The epic sepsis model falls short-the importance of external validation

Habib, A. R., Lin, A. L., & Grant, R. W. (2021) · JAMA Internal Medicine

Sepsis Diagnosis and TreatmentStatistical Methods in Epidemiology

Cited by 101