Resultados da busca - Michael W. Sjoding

Analyzing Granular Data to Evaluate a New Indication For an Old Therapy por Anna K. Barker, MD, PhD, Michael W. Sjoding, MD

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Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome por Negar Farzaneh, Sardar Ansari, Elizabeth Lee, Kevin R. Ward, Michael W. Sjoding

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21 Optimizing AI-physician collaboration for enhanced diagnostic accuracy: A case study on acute respiratory distress syndrome detection using chest X-ray imaging por Negar Farzaneh, Sardar Ansari, Elizabeth Lee, Kevin R. Ward, Michael W. Sjoding

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Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits. por Trenton Chang, Mark Nuppnau, Ying He, Keith E Kocher, Thomas S Valley, Michael W Sjoding, Jenna Wiens

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Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study por Bryce Benson, Ashwin Belle, Sooin Lee, Benjamin S. Bassin, Richard P. Medlin, Michael W. Sjoding, Kevin R. Ward

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A novel swine model of the acute respiratory distress syndrome using clinically relevant injury exposures por Mohamad H. Tiba, Brendan M. McCracken, Danielle C. Leander, Carmen I. Colmenero, Jean A. Nemzek, Michael W. Sjoding, Kristine E. Konopka, Thomas L. Flott, J. Scott VanEpps, Rodney C. Daniels, Kevin R. Ward, Kathleen A. Stringer, Robert P. Dickson

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Nudging implementation of low tidal volume ventilation: a stepped wedge, cluster randomized trial por Meeta Prasad Kerlin, Michael O. Harhay, Fan Li, Dylan S. Small, Yingying Lu, Wei Wang, Barry D. Fuchs, Mark E. Mikkelsen, Teresa Tran, Aerielle Belk, Jasmine A. Silvestri, Tamar Klaiman, Stefania Scott, Elizabeth Levy, Michael W. Sjoding, Rachel Kohn, Karsten J. Roberts, Rinad S. Beidas, Scott D. Halpern

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