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Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health

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  • Onno, Julien
  • Ahmad Khan, Faiz
  • Daftary, Amrita
  • David, Pierre-Marie

Abstract

Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix for a complex problem: ending TB by 2030. WHO has recommended the use of such imaging devices in 2021 and many partnerships have helped propose benchmark analysis and technology comparisons to facilitate their “market access”.

Suggested Citation

  • Onno, Julien & Ahmad Khan, Faiz & Daftary, Amrita & David, Pierre-Marie, 2023. "Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health," Social Science & Medicine, Elsevier, vol. 327(C).
    • Handle: RePEc:eee:socmed:v:327:y:2023:i:c:s0277953623003064
    DOI: 10.1016/j.socscimed.2023.115949
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    References listed on IDEAS

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    1. Huffman, Samantha A. & Veen, Jaap & Hennink, Monique M. & McFarland, Deborah A., 2012. "Exploitation, vulnerability to tuberculosis and access to treatment among Uzbek labor migrants in Kazakhstan," Social Science & Medicine, Elsevier, vol. 74(6), pages 864-872.
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    3. Cruz, Taylor Marion, 2022. "The social life of biomedical data: Capturing, obscuring, and envisioning care in the digital safety-net," Social Science & Medicine, Elsevier, vol. 294(C).
    4. Eeva Ollila, 2005. "Restructuring Global Health Policy-Making: the Role of Global Public-Private Partnerships," Social Policy in a Development Context, in: Maureen Mackintosh & Meri Koivusalo (ed.), Commercialization of Health Care, chapter 12, pages 187-200, Palgrave Macmillan.
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    Cited by:

    1. Kusta, Olsi & Bearman, Margaret & Gorur, Radhika & Risør, Torsten & Brodersen, John Brandt & Hoeyer, Klaus, 2024. "Speed, accuracy, and efficiency: The promises and practices of digitization in pathology," Social Science & Medicine, Elsevier, vol. 345(C).

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