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

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Qin, Z.Z., Van der Walt, M., Moyo, S., Ismail , F. , Maribe, P., Denkinger, C., Zaidi , S., Barrett, R., Mvusi , L., Mkhondo, N., Mthiyane, L. & Creswell, J. (2023) Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software. (Paper presented at The Union World Conference on Lung Health, Paris, France, 15-18 November ). http://hdl.handle.net/20.500.11910/23178

http://hdl.handle.net/20.500.11910/23178
 
Abstract:
Computer-aided detection (CAD) products use AI to read CXR images and detect TB-associated abnormalities and have been recommended by the World Health Organization (WHO) for interpreting chest X-ray to triage and screen for TB in those aged 15 years and older, as an alternative to hum an readers.
Reference:
Paper presented at The Union World Conference on Lung Health, Paris, France, 15-18 November
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06 Mar 2024
 
TUBERCULOSIS
CHATBOTS
LUNG DISEASES
WORLD HEALTH ORGANISATION (WHO)
YOUNG PEOPLE
 
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