Evaluation of chest X-ray with automated interpretation algorithms for mass tuberculosis screening in prisons: a cross-sectional study.

Autor: Soares TR; Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil., Oliveira RD; Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil.; Nursing School, State University of Mato Grosso do Sul, Dourados, MS, Brazil., Liu YE; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States of America., Santos ADS; Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil., Santos PCPD; Faculty of Health Sciences of Federal University of Grande Dourados, Dourados, MS, Brazil., Monte LRS; Nursing School, State University of Mato Grosso do Sul, Dourados, MS, Brazil., Oliveira LM; Oswaldo Cruz Foundation, Campo Grande, MS, Brazil., Park CM; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.; Department of Radiology, Seoul National University Hospital, Seoul, Korea., Hwang EJ; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.; Department of Radiology, Seoul National University Hospital, Seoul, Korea., Andrews JR; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States of America., Croda J; Oswaldo Cruz Foundation, Campo Grande, MS, Brazil.; Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT, United States of America.; School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil.

Publikováno v: Lancet regional health. Americas [Lancet Reg Health Am] 2022 Nov 04; Vol. 17, pp. 100388. Date of Electronic Publication: 2022 Nov 04 (Print Publication: 2023).