Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study - Jang, Se Bum; Lee, Suk Hee; Lee, Dong Eun; Park, Sin-Youl; Kim, Jong Kun; Cho, Jae Wan; Cho, Jaekyung; Kim, Ki Beom; Park, Byunggeon; Park, Jongmin; Lim, Jae-Kwang (PloS one, 2020)
Keywords: Adult; Aged; Aged, 80 and over; Algorithms; Biology and Life Sciences; Chest; Chest x-rays; Computed tomography; Coronaviruses; COVID-19; COVID-19 - diagnostic imaging; COVID-19 - epidemiology; COVID-19 - virology; Data Accuracy; Deep Learning; Diagnosis; Diagnostic systems; Emergency medical care; Emergency medical services; Female; Humans; Learning algorithms; Machine learning; Male; Medical computer applications; Medical diagnosis; Medical imaging; Medical personnel; Medicine and Health Sciences; Methods; Middle Aged; Opacity; Pandemics; Patients; People and Places; Physical Sciences; Physicians; Pneumonia; Polymerase chain reaction; Radiographic Image Interpretation, Computer-Assisted - methods; Radiographs; Radiography; Radiography, Thoracic - methods; Radiologists; Radiology; Reproducibility of Results; Republic of Korea - epidemiology; Research and Analysis Methods; Retrospective Studies; Reverse Transcriptase Polymerase Chain Reaction; Reverse transcription; SARS-CoV-2 - genetics; Sensitivity and Specificity; Tomography, X-Ray Computed - methods; Triage (Medicine); Triage - methods; Tuberculosis; Viral diseases; Republic of Korea; South Korea