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Bahman Mirheidari

University of Sheffield

Sheffield, S1 3JD

  • University of Sheffield

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AI-enabled Tuberculosis Screening in a High-burden Setting Using Cough Sound Analysis and Speech Foundation Models

Number of pages: 17 Posted: 19 Sep 2025
Ning Ma, Bahman Mirheidari, Guy J. Brown, Minyoi M. Maimbolwa, Nsala Sanjase, Solomon Chifwamba, Seke Muzazu, Monde Muyoyeta and Mary Kagujje
University of Sheffield, University of Sheffield, University of Sheffield, Centre for Infectious Disease Research in Zambia, Centre for Infectious Disease Research in Zambia, Centre for Infectious Disease Research in Zambia, Centre for Infectious Disease Research in Zambia, Centre for Infectious Disease Research in Zambia and Centre for Infectious Disease Research in Zambia
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Tuberculosis, TB, Cough Analysis, Acoustic Biomarkers, Artificial Intelligence, Machine Learning, Screening Tools, Global Health