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AI/ML-based prediction of TB treatment failure: A systematic review and meta-analysis.

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Title: AI/ML-based prediction of TB treatment failure: A systematic review and meta-analysis.
Authors: Kamulegeya R; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Nabatanzi R; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Semugenze D; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.; Department of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, Amsterdam, Netherlands., Mugala F; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Takuwa M; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Nasinghe E; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Musinguzi D; Department of Computer Science, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda., Namiiro S; Masaka Regional Referral Hospital, Masaka, Uganda.; Makerere University Lung Institute (MLI), Kampala, Uganda., Katumba A; Department of Electrical and Computer Engineering, College of Engineering, Art and Design, Makerere University (CEDAT), Kampala, Uganda., Ssengooba W; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda., Nakatumba-Nabende J; Department of Computer Science, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda., Kivunike FN; Department of Information Technology, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda., Kateete DP; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Apr 22. Date of Electronic Publication: 2026 Apr 22.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: AI/ML-based prediction of TB treatment failure: A systematic review and meta-analysis.
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  Data: <searchLink fieldCode="AU" term="%22Kamulegeya+R%22">Kamulegeya R</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Nabatanzi+R%22">Nabatanzi R</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Semugenze+D%22">Semugenze D</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.; Department of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Mugala+F%22">Mugala F</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Takuwa+M%22">Takuwa M</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Nasinghe+E%22">Nasinghe E</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Musinguzi+D%22">Musinguzi D</searchLink>; Department of Computer Science, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Namiiro+S%22">Namiiro S</searchLink>; Masaka Regional Referral Hospital, Masaka, Uganda.; Makerere University Lung Institute (MLI), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Katumba+A%22">Katumba A</searchLink>; Department of Electrical and Computer Engineering, College of Engineering, Art and Design, Makerere University (CEDAT), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Ssengooba+W%22">Ssengooba W</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Nakatumba-Nabende+J%22">Nakatumba-Nabende J</searchLink>; Department of Computer Science, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Kivunike+FN%22">Kivunike FN</searchLink>; Department of Information Technology, College of Computing and Information Sciences, Makerere University (CoCIS), Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Kateete+DP%22">Kateete DP</searchLink>; Department of Immunology and Molecular Biology, Makerere University College of Health Sciences (MakCHS), Kampala, Uganda.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2026 Apr 22. <i>Date of Electronic Publication: </i>2026 Apr 22.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42078337
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        Value: 10.64898/2026.04.16.26350453
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              Text: 2026 Apr 22
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