Development of a Machine Learning Model for Sonographic Assessment of Gestational Age

por Lee, Chace, Willis, Angelica, Chen, Christina, Sieniek, Marcin, Watters, Amber, Stetson, Bethany, Uddin, Akib, Wong, Jonny, Pilgrim, Rory, Chou, Katherine, Tse, Daniel, Shetty, Shravya, Gomes, Ryan G.
Publicado 2023

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

por Nabulsi, Zaid, Sellergren, Andrew, Jamshy, Shahar, Lau, Charles, Santos, Edward, Kiraly, Atilla P., Ye, Wenxing, Yang, Jie, Pilgrim, Rory, Kazemzadeh, Sahar, Yu, Jin, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Melnick, David, Corrado, Greg S., Peng, Lily, Eswaran, Krish, Tse, Daniel, Beladia, Neeral, Liu, Yun, Chen, Po-Hsuan Cameron, Shetty, Shravya
Publicado 2021

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

por Gomes, Ryan G., Vwalika, Bellington, Lee, Chace, Willis, Angelica, Sieniek, Marcin, Price, Joan T., Chen, Christina, Kasaro, Margaret P., Taylor, James A., Stringer, Elizabeth M., McKinney, Scott Mayer, Sindano, Ntazana, Dahl, George E., Goodnight, William, Gilmer, Justin, Chi, Benjamin H., Lau, Charles, Spitz, Terry, Saensuksopa, T., Liu, Kris, Tiyasirichokchai, Tiya, Wong, Jonny, Pilgrim, Rory, Uddin, Akib, Corrado, Greg, Peng, Lily, Chou, Katherine, Tse, Daniel, Stringer, Jeffrey S. A., Shetty, Shravya
Publicado 2022