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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Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration por Emily Mu, Sarah Jabbour, Adrian V. Dalca, John Guttag, Jenna Wiens, Michael W. Sjoding

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Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration. por Emily Mu, Sarah Jabbour, Adrian V Dalca, John Guttag, Jenna Wiens, Michael W Sjoding

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Machine learning for patient risk stratification for acute respiratory distress syndrome. por Daniel Zeiberg, Tejas Prahlad, Brahmajee K Nallamothu, Theodore J Iwashyna, Jenna Wiens, 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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Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome por Narathip Reamaroon, Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro, Brian D. Athey, Kayvan Najarian

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Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes. por Stephen Salerno, Yuming Sun, Emily L Morris, Xinwei He, Yajing Li, Ziyang Pan, Peisong Han, Jian Kang, Michael W Sjoding, Yi Li

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Prioritizing evidence-based practices for acute respiratory distress syndrome using digital data: an iterative multi-stakeholder process por Jennifer N. Ervin, Millie R. Dibble, Victor C. Rentes, Michael W. Sjoding, Michelle N. Gong, Catherine L. Hough, Theodore J. Iwashyna, Anne E. Sales

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Causes and characteristics of death in patients with acute hypoxemic respiratory failure and acute respiratory distress syndrome: a retrospective cohort study por Scott W. Ketcham, Yub Raj Sedhai, H. Catherine Miller, Thomas C. Bolig, Amy Ludwig, Ivan Co, Dru Claar, Jakob I. McSparron, Hallie C. Prescott, Michael W. Sjoding

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Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality por Yuming Sun, Stephen Salerno, Xinwei He, Ziyang Pan, Eileen Yang, Chinakorn Sujimongkol, Jiyeon Song, Xinan Wang, Peisong Han, Jian Kang, Michael W. Sjoding, Shruti Jolly, David C. Christiani, Yi Li

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Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine por Ruchi Sharma, Menglian Zhou, Mohamad Hakam Tiba, Brendan M. McCracken, Robert P. Dickson, Christopher E. Gillies, Michael W. Sjoding, Jean A. Nemzek, Kevin R. Ward, Kathleen A. Stringer, Xudong Fan

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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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Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation por Michael W Sjoding, MD, Daniel Taylor, MS, Jonathan Motyka, MS, Elizabeth Lee, MD, Ivan Co, MD, Dru Claar, MD, Jakob I McSparron, MD, Sardar Ansari, PhD, Meeta Prasad Kerlin, MD, John P Reilly, MD, Michael G S Shashaty, MD, Brian J Anderson, MD, Tiffanie K Jones, MD, Harrison M Drebin, MD, Caroline A G Ittner, MD, Nuala J Meyer, MD, Theodore J Iwashyna, ProfMD, Kevin R Ward, ProfMD, Christopher E Gillies, PhD

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