A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis - Harris, Miriam; Qi, Amy; Jeagal, Luke; Torabi, Nazi; Menzies, Dick; Korobitsyn, Alexei; Pai, Madhukar; Nathavitharana, Ruvandhi R.; Ahmad Khan, Faiz (PloS one, 2019)
Keywords: Abnormalities; Accuracy; Area Under Curve; Artificial Intelligence; Automation; Bias; Chest; Chest x-rays; Clinical trials; Computer and Information Sciences; Computer programs; Computers; Concretes; Deep learning; Design; Diagnosis; Diagnosis, Computer-Assisted - methods; Diagnosis, Computer-Assisted - standards; Diagnosis, Computer-Assisted - statistics & numerical data; Diagnostic software; Diagnostic systems; Epidemiology; Evaluation; Humans; Infectious diseases; Learning algorithms; Lung diseases; Machine learning; Medical diagnosis; Medical research; Medicine; Medicine and Health Sciences; People and Places; Physical Sciences; Predictive Value of Tests; Pulmonary tuberculosis; Quality Assurance, Health Care; Radiography; Reading; Research and Analysis Methods; Risk assessment; Sensitivity and Specificity; Software; Studies; Systematic review; Tuberculosis; Tuberculosis, Pulmonary - diagnostic imaging; X-rays; Canada; Montreal Quebec Canada; United States--US; Massachusetts