Koyner, Jay L.

Acute kidney disease and renal recovery: consensus report of the Acute Disease Quality Initiative (ADQI) 16 Workgroup

16., O. B. O. T. A. D. Q. I. W., Chawla, L. S., Bellomo, R., Bihorac, A., Goldstein, S. L., Siew, E. D., Bagshaw, S. M., Bittleman, D., Cruz, D., Endre, Z., et al. (2017) · Nature Reviews Nephrology

Acute Kidney Injury ResearchChronic Kidney Disease and Diabetes

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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

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Association Between Early Treatment With Tocilizumab and Mortality Among Critically Ill Patients With COVID-19

Gupta, S., Wang, W., Hayek, S. S., Chan, L., Mathews, K. S., Melamed, M. L., Brenner, S. K., Leonberg-Yoo, A., Schenck, E. J., Radbel, J., et al. (2021) · JAMA Internal Medicine

COVID-19 Clinical Research StudiesRespiratory Support and Mechanisms

Cited by 535

The development of a machine learning inpatient acute kidney injury prediction model.

Koyner, J. L., Carey, K. A., Edelson, D. P., & Churpek, M. M. (2018) · Critical Care Medicine

Acute Kidney Injury ResearchMachine Learning in Healthcare

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Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI

Koyner, J. L., Martin, J., Carey, K. A., Caskey, J., Edelson, D. P., Mayampurath, A., Dligach, D., Afshar, M., & Churpek, M. M. (2025) · Clinical Journal of the American Society of Nephrology

Acute Kidney Injury ResearchMachine Learning in Healthcare

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