Diagnostic accuracy of a DenseNet-121 deep learning algorithm for chest radiograph triage in health assessment applicants: a prospective shadow-mode validation study in Nepal

Lochan Shrestha, Dinesh Maharjan, Uttam Bista

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DOI: 10.1136/bmjopen-2026-124868
Published: 2026-10
Container: BMJ Open
Publisher: BMJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1136/bmjopen-2026-124868,
  title = {Diagnostic accuracy of a DenseNet-121 deep learning algorithm for chest radiograph triage in health assessment applicants: a prospective shadow-mode validation study in Nepal},
  author = {Lochan Shrestha and Dinesh Maharjan and Uttam Bista},
  year = {2026},
  journal = {BMJ Open},
  doi = {10.1136/bmjopen-2026-124868},
  url = {https://doi.org/10.1136/bmjopen-2026-124868}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of a DenseNet-121 deep learning algorithm for chest radiograph triage in health assessment applicants: a prospective shadow-mode validation study in Nepal
AU  - Lochan Shrestha
AU  - Dinesh Maharjan
AU  - Uttam Bista
PY  - 2026
JO  - BMJ Open
DO  - 10.1136/bmjopen-2026-124868
UR  - https://doi.org/10.1136/bmjopen-2026-124868
ER  -

APA

Shrestha, L., Maharjan, D., & Bista, U. (2026). Diagnostic accuracy of a DenseNet-121 deep learning algorithm for chest radiograph triage in health assessment applicants: a prospective shadow-mode validation study in Nepal. BMJ Open. https://doi.org/10.1136/bmjopen-2026-124868

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crossref · retrieved 2026-11-07T17:43:35.251Z