Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.
- DOI
- 10.1136/bmjopen-2025-105881
- Published
- 2025-07-28
- Container
- BMJ Open
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1136/bmjopen-2025-105881,
title = {Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.},
author = {Aurangzeb B and Robert D and Baard C and Qureshi AA and Shaheen A and Ambreen A and McFarlane D and Javed H and Bano I and Chiramal JA and Workman L and Pillay T and Franckling-Smith Z and Mustafa T and Andronikou S and Zar HJ.},
year = {2025},
journal = {BMJ Open},
doi = {10.1136/bmjopen-2025-105881},
url = {https://doi.org/10.1136/bmjopen-2025-105881}
}RIS
TY - JOUR TI - Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study. AU - Aurangzeb B AU - Robert D AU - Baard C AU - Qureshi AA AU - Shaheen A AU - Ambreen A AU - McFarlane D AU - Javed H AU - Bano I AU - Chiramal JA AU - Workman L AU - Pillay T AU - Franckling-Smith Z AU - Mustafa T AU - Andronikou S AU - Zar HJ. PY - 2025 JO - BMJ Open DO - 10.1136/bmjopen-2025-105881 UR - https://doi.org/10.1136/bmjopen-2025-105881 ER -
APA
B, A., D, R., C, B., AA, Q., A, S., A, A., D, M., H, J., I, B., JA, C., L, W., T, P., Z, F., T, M., S, A., & HJ., Z. (2025). Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.. BMJ Open. https://doi.org/10.1136/bmjopen-2025-105881
Source records
- europe-pmc · retrieved 2026-09-27T03:14:32.875Z
- doaj · retrieved 2026-09-27T03:14:32.885Z