A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals

por Sun, Ju, Peng, Le, Li, Taihui, Adila, Dyah, Zaiman, Zach, Melton, Genevieve B., Ingraham, Nicholas, Murray, Eric, Boley, Daniel, Switzer, Sean, Burns, John L., Huang, Kun, Allen, Tadashi, Steenburg, Scott D., Gichoya, Judy Wawira, Kummerfeld, Erich, Tignanelli, Christopher
Publicado 2021

Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs

por Gichoya, Judy W., Sinha, Priyanshu, Davis, Melissa, Dunkle, Jeffrey W., Hamlin, Scott A., Herr, Keith D., Hoff, Carrie N., Letter, Haley P., McAdams, Christopher R., Puthoff, Gregory D., Smith, Kevin L., Steenburg, Scott D., Banerjee, Imon, Trivedi, Hari
Publicado 2022

Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study

por Sun, Ju, Peng, Le, Li, Taihui, Adila, Dyah, Zaiman, Zach, Melton-Meaux, Genevieve B., Ingraham, Nicholas E., Murray, Eric, Boley, Daniel, Switzer, Sean, Burns, John L., Huang, Kun, Allen, Tadashi, Steenburg, Scott D., Gichoya, Judy Wawira, Kummerfeld, Erich, Tignanelli, Christopher J.
Publicado 2022

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

por Peng, Le, Luo, Gaoxiang, Walker, Andrew, Zaiman, Zachary, Jones, Emma K, Gupta, Hemant, Kersten, Kristopher, Burns, John L, Harle, Christopher A, Magoc, Tanja, Shickel, Benjamin, Steenburg, Scott D, Loftus, Tyler, Melton, Genevieve B, Gichoya, Judy Wawira, Sun, Ju, Tignanelli, Christopher J
Publicado 2022