Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.

Journal: International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Published Date: Sep 1, 2022

Abstract

BACKGROUND: Few evaluations of computer-aided detection (CAD) software for analyzing chest radiographs for tuberculosis have used mycobacterial culture as the reference standard.

Authors

  • Gamuchirai Tavaziva
    McGill International TB Centre, Research Institute of the McGill University Health Centre and McGill University, Montreal, QC, Canada; Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
  • Arman Majidulla
    Interactive Research and Development Pakistan, Karachi, Pakistan.
  • Ahsana Nazish
    The Indus Hospital, Karachi, Pakistan.
  • Saima Saeed
    Global Health Directorate, Indus Health Network, Karachi, Pakistan.
  • Andrea Benedetti
    Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada; Department of Medicine and Department of Epidemiology, McGill University, Montreal, Canada.
  • Aamir J Khan
    IRD Global, Singapore.
  • Faiz Ahmad Khan
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.

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