Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software.

Journal: The Lancet. Digital health
PMID: 39033067

Abstract

BACKGROUND: Computer-aided detection (CAD) can help identify people with active tuberculosis left undetected. However, few studies have compared the performance of commercially available CAD products for screening in high tuberculosis and high HIV settings, and there is poor understanding of threshold selection across products in different populations. We aimed to compare CAD products' performance, with further analyses on subgroup performance and threshold selection.

Authors

  • Zhi Zhen Qin
    Stop TB Partnership, Geneva, Switzerland.
  • Martie Van der Walt
    South Africa Medical Research Council, Pretoria, South Africa.
  • Sizulu Moyo
    Human Sciences Research Council, Human and Social Capabilities Division, Cape Town, South Africa.
  • Farzana Ismail
    National Institute for Communicable Diseases, Pretoria, South Africa.
  • Phaleng Maribe
    Human Sciences Research Council, Human and Social Capabilities Division, Cape Town, South Africa.
  • Claudia M Denkinger
    Foundation for Innovative New Diagnostics, Chemin des Mines, Geneva, 1201, Switzerland; Division of Tropical Medicine, Center of Infectious Diseases, University Hospital Heidelberg, Heidelberg, Im Neuenheimer Feld 324, Heidelberg, 69120, Germany.
  • Sarah Zaidi
    Children's Hospital of Eastern Ontario Research Institute, Canada.
  • Rachael Barrett
    Stop TB Partnership, Geneva, Switzerland.
  • Lindiwe Mvusi
    South African National Department of Health, Cape Town, South Africa.
  • Nkateko Mkhondo
    World Health Organization, Pretoria, South Africa.
  • Khangelani Zuma
    Human Sciences Research Council, Human and Social Capabilities Division, Cape Town, South Africa.
  • Samuel Manda
    South Africa Medical Research Council, Pretoria, South Africa.
  • Lisa Koeppel
    Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, German Center for Infection Research (partner site), Heidelberg, Germany.
  • Thuli Mthiyane
    South Africa Medical Research Council, Pretoria, South Africa.
  • Jacob Creswell
    Stop TB Partnership, Geneva, Switzerland. jacobc@stoptb.org.

Keywords

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