Diagnostic Accuracy of Artificial Intelligence-Based Chest X-Ray reading for screening of Tuberculosis.

Journal: Journal of Nepal Health Research Council
PMID: 39923159

Abstract

BACKGROUND: Tuberculosis remains a public health challenge in Nepal and ranks as the seventh leading cause of death in the country. The END Tuberculosis strategy stresses - the screening for symptoms alone may not suffice; additional screening tools such as a chest radiograph may facilitate referral for diagnosis of tuberculosis. The study aims to evaluate the diagnostic accuracy of artificial intelligence (AI) based Chest X-ray and compare it with the human reading (radiologist), using GeneXpert-MTB RIF Assay for tuberculosis case detection.

Authors

  • Ruby Maka Shrestha
    Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Kavre, Nepal.
  • Ram Chandra Paudel
    Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Kavre, Nepal.
  • Puspanjali Adhikari
    Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Kavre, Nepal.
  • Ram Hari Ghimire
    Nobel Medical College and Teaching Hospital, Biratnagar, Morang, Nepal.
  • Karma Gurung
    International Organisation for Migration, Baluwatar, Kathmandu, Nepal.
  • Rajeev Shrestha
    Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Kavre, Nepal.

Keywords

External Resources

Popular Topics
Recent Journals