| Racial bias in pulse oximetry measurement MW Sjoding, RP Dickson, TJ Iwashyna, SE Gay, TS Valley New England Journal of Medicine 383 (25), 2477-2478, 2020 | 1149 | 2020 |
| Lung microbiota predict clinical outcomes in critically ill patients RP Dickson, MJ Schultz, T Van Der Poll, LR Schouten, NR Falkowski, ... American journal of respiratory and critical care medicine 201 (5), 555-563, 2020 | 306 | 2020 |
| Measuring the impact of AI in the diagnosis of hospitalized patients: a randomized clinical vignette survey study S Jabbour, D Fouhey, S Shepard, TS Valley, EA Kazerooni, N Banovic, ... Jama 330 (23), 2275-2284, 2023 | 174 | 2023 |
| Lung and gut microbiota are altered by hyperoxia and contribute to oxygen-induced lung injury in mice SL Ashley, MW Sjoding, AP Popova, TX Cui, MJ Hoostal, TM Schmidt, ... Science translational medicine 12 (556), eaau9959, 2020 | 168 | 2020 |
| Association of intensive care unit admission with mortality among older patients with pneumonia TS Valley, MW Sjoding, AM Ryan, TJ Iwashyna, CR Cooke Jama 314 (12), 1272-1279, 2015 | 160 | 2015 |
| IL-17 producing γδ T cells are required for a controlled inflammatory response after bleomycin-induced lung injury RK Braun, C Ferrick, P Neubauer, M Sjoding, A Sterner-Kock, M Kock, ... Inflammation 31 (3), 167-179, 2008 | 158 | 2008 |
| Longitudinal changes in ICU admissions among elderly patients in the United States MW Sjoding, HC Prescott, H Wunsch, TJ Iwashyna, CR Cooke Critical care medicine 44 (7), 1353-1360, 2016 | 151 | 2016 |
| Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens Journal of the American Medical Informatics Association 27 (12), 1921-1934, 2020 | 142 | 2020 |
| Interobserver reliability of the Berlin ARDS definition and strategies to improve the reliability of ARDS diagnosis MW Sjoding, TP Hofer, I Co, A Courey, CR Cooke, TJ Iwashyna Chest 153 (2), 361-367, 2018 | 138 | 2018 |
| Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19 K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... Annals of the American Thoracic Society 18 (7), 1129-1137, 2021 | 137* | 2021 |
| Racial bias and reproducibility in pulse oximetry among medical and surgical inpatients in general care in the Veterans Health Administration 2013-19: multicenter … VSM Valbuena, S Seelye, MW Sjoding, TS Valley, RP Dickson, SE Gay, ... Bmj 378, 2022 | 134 | 2022 |
| Longitudinal respiratory subphenotypes in patients with COVID-19-related acute respiratory distress syndrome: results from three observational cohorts LDJ Bos, M Sjoding, P Sinha, SV Bhavani, PG Lyons, AF Bewley, M Botta, ... The lancet Respiratory medicine 9 (12), 1377-1386, 2021 | 133 | 2021 |
| Changes in primary noncardiac diagnoses over time among elderly cardiac intensive care unit patients in the United States SS Sinha, MW Sjoding, D Sukul, HC Prescott, TJ Iwashyna, HS Gurm, ... Circulation: Cardiovascular Quality and Outcomes 10 (8), e003616, 2017 | 125 | 2017 |
| In critically ill patients, anti-anaerobic antibiotics increase risk of adverse clinical outcomes R Chanderraj, JM Baker, SG Kay, CA Brown, KJ Hinkle, DJ Fergle, ... European Respiratory Journal 61 (2), 2023 | 122 | 2023 |
| Causes and characteristics of death in patients with acute hypoxemic respiratory failure and acute respiratory distress syndrome: a retrospective cohort study SW Ketcham, YR Sedhai, HC Miller, TC Bolig, A Ludwig, I Co, D Claar, ... Critical Care 24 (1), 391, 2020 | 109 | 2020 |
| Machine learning for patient risk stratification for acute respiratory distress syndrome D Zeiberg, T Prahlad, BK Nallamothu, TJ Iwashyna, J Wiens, MW Sjoding PloS one 14 (3), e0214465, 2019 | 109 | 2019 |
| Racial bias in pulse oximetry measurement among patients about to undergo extracorporeal membrane oxygenation in 2019-2020: a retrospective cohort study VSM Valbuena, RP Barbaro, D Claar, TS Valley, RP Dickson, SE Gay, ... Chest 161 (4), 971-978, 2022 | 102 | 2022 |
| Accounting for label uncertainty in machine learning for detection of acute respiratory distress syndrome N Reamaroon, MW Sjoding, K Lin, TJ Iwashyna, K Najarian IEEE journal of biomedical and health informatics 23 (1), 407-415, 2018 | 93 | 2018 |
| Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation MW Sjoding, D Taylor, J Motyka, E Lee, D Claar, JI McSparron, S Ansari, ... The Lancet Digital Health 3 (6), e340-e348, 2021 | 84 | 2021 |
| Diagnosing bias in data-driven algorithms for healthcare J Wiens, WN Price, MW Sjoding Nature medicine 26 (1), 25-26, 2020 | 74 | 2020 |
