How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study

Jordan Zheng Ting Sim, Jia Lin, Qi Wei Fong, Alvin Yong Quan Soon, Lay Wai Khin, Sreejith Balakrishnan, Timothy Lin, Sabrina Wong, Cher Heng Tan

Open source

DOI: 10.1136/bmjopen-2025-111127
Published: 2026-02
Container: BMJ Open
Publisher: BMJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1136/bmjopen-2025-111127,
  title = {How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study},
  author = {Jordan Zheng Ting Sim and Jia Lin and Qi Wei Fong and Alvin Yong Quan Soon and Lay Wai Khin and Sreejith Balakrishnan and Timothy Lin and Sabrina Wong and Cher Heng Tan},
  year = {2026},
  journal = {BMJ Open},
  doi = {10.1136/bmjopen-2025-111127},
  url = {https://doi.org/10.1136/bmjopen-2025-111127}
}

RIS

TY  - JOUR
TI  - How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study
AU  - Jordan Zheng Ting Sim
AU  - Jia Lin
AU  - Qi Wei Fong
AU  - Alvin Yong Quan Soon
AU  - Lay Wai Khin
AU  - Sreejith Balakrishnan
AU  - Timothy Lin
AU  - Sabrina Wong
AU  - Cher Heng Tan
PY  - 2026
JO  - BMJ Open
DO  - 10.1136/bmjopen-2025-111127
UR  - https://doi.org/10.1136/bmjopen-2025-111127
ER  -

APA

Sim, J. Z. T., Lin, J., Fong, Q. W., Soon, A. Y. Q., Khin, L. W., Balakrishnan, S., Lin, T., Wong, S., & Tan, C. H. (2026). How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study. BMJ Open. https://doi.org/10.1136/bmjopen-2025-111127

Source records

crossref · retrieved 2026-09-25T15:16:14.627Z