Resumen de Validation of Chest Computed Tomography Artificial Intelligence to Determine the Requirement for Mechanical Ventilation and Risk of Mortality in Hospitalized Coronavirus Disease-19 Patients in a Tertiary Care Center In Mexico City
Yukiyoshi Kimura Sandoval, Mary E. Arévalo Molina, César N. Cristancho Rojas, Yumi Kimura Sandoval, Victoria Rebollo Hurtado, Mariana Licano Zubiate, Mónica Chapa Ibargüengoitia, Gisela Muñoz López
- español
La inteligencia artificial (IA) en radiología ha mejorado el rendimiento diagnóstico y ha acortado los tiempos de lectura de los estudios de pacientes con la enfermedad por coronavirus 2019 (COVID-19)
- English
Artificial intelligence (AI) in radiology has improved diagnostic performance and shortened reading times of coronavirus disease 2019 (COVID-19) patients’ studies. Objectives: The objectives pf the study were to analyze the performance of a chest computed tomography (CT) AI quantitative algorithm for determining the risk of mortality/mechanical ventilation (MV) in hospitalized COVID-19 patients and explore a prognostic multivariate model in a tertiary-care center in Mexico City.
