Diagnostic accuracy of artificial intelligence for tuberculosis detection from cough sounds: a systematic review and meta-analysis.

Sahoo RK, Sahoo KC, Sinha A, Talukdar R, Mishra M, Bhattacharya D, Pati S

DOI: 10.3389/frai.2026.1774125
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1774125,
  title = {Diagnostic accuracy of artificial intelligence for tuberculosis detection from cough sounds: a systematic review and meta-analysis.},
  author = {Sahoo RK and Sahoo KC and Sinha A and Talukdar R and Mishra M and Bhattacharya D and Pati S},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1774125},
  url = {https://doi.org/10.3389/frai.2026.1774125}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of artificial intelligence for tuberculosis detection from cough sounds: a systematic review and meta-analysis.
AU  - Sahoo RK
AU  - Sahoo KC
AU  - Sinha A
AU  - Talukdar R
AU  - Mishra M
AU  - Bhattacharya D
AU  - Pati S
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1774125
UR  - https://doi.org/10.3389/frai.2026.1774125
ER  -

APA

RK, S., KC, S., A, S., R, T., M, M., D, B., & S, P. (2026). Diagnostic accuracy of artificial intelligence for tuberculosis detection from cough sounds: a systematic review and meta-analysis.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1774125

Source records

pubmed · retrieved 2026-09-25T13:14:39.405Z