Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome by 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 by 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. by 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. by Daniel Zeiberg, Tejas Prahlad, Brahmajee K Nallamothu, Theodore J Iwashyna, Jenna Wiens, Michael W Sjoding

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Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study by 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 by 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. by 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 by 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 by 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 by 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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A novel swine model of the acute respiratory distress syndrome using clinically relevant injury exposures by 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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Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation by 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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