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COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence

2020; Elsevier BV; Volume: 3-4; Linguagem: Inglês

10.1016/j.ibmed.2020.100014

2666-5212

Francisco Dorr, Hernán Cháves, Mercedes Serra, Andrés Hernández Ramírez, Martín Elías Costa, Joaquin Oscar Seia, Claudia Cejas, Marcelo A. Castro, Eduardo Eyheremendy, Diego Fernández Slezak, Mauricio Farez, Marcelo Villalobos Olave, David Herquiñigo Reckmann, Christian Pérez, Jairo Hernández Pinzon, Omar García Almendro, David Valdez, Romina Julieta Montoya, Emilia Osa Sanz, Nadia Ivanna Stefanoff, Andres Hualpa, Milagros Di Cecco, Harol Sotelo, Federico Ferreyra Luaces, Francisco J Larzábal, Julian Ramirez Acosta, Rodrigo José Mosquera Luna, Vicente Castro, Flavia Paola Avallay, Saúl Vargas, S. Villena, Rosario Forlenza, Joaquin Martinez Pereira, Macarena Aloisi, Manuel Conde Blanco, Federico Diaz Telli, María Sol Toronchik, Claudio Gutierrez Occhiuzzi, Gisella Fourzans, Pablo Kuschner, Rosa Castagna, Bibiana Abaz, Daniel Casero, Maria Isabel Troya Saborido, M Escolar, Carlos Lineros, S. De Luca, Graciela Doctorovich, Laura Dragonetti, Cecilia Carrera, Juan Costa Cañizares, Leandro Minuet, Victor Charcopa, Carlos E Mamani, Adriana Toledo, María Julieta Vargas, Angela Quiroz, Eros Miguel Angeletti, Jessica Goyo Pinto, Christian Correa Farías, José Pizzorno, R. Lucà, José Antonio Rivas-González, Marisa Concheso, Alicia Villareal, Mayra Zuleta, Guido Barmaimon,

Radiomics and Machine Learning in Medical Imaging

To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection of COVID-19 in chest radiographs (CXR), and compare results to those of physicians working alone, or with AI support.