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Peer-reviewedCC BY-NCBMJ open

AI-Powered CURA Application for Identifying At-Risk Pregnancies in Obstetrics Management (CURAte): protocol for a randomised controlled trial.

  • Sarah Li1
  • Caitlin Wan Sze Por2
  • Harshaana Ramlal3
  • Aniza P Mahyuddin4
  • David Y Y Tan5
  • Jingxian Zhang5
  • Ruifen Weng5
  • Ling-Jun Li4,6
  • Shefaly Shorey7,8
  • Citra Mattar3,4
  • Matthew Kemp3,4,9,10
  • Kee Yuan Ngiam11,12,13
3 more authors
  • Bee-Choo Tai14
  • Mahesh Choolani3,4,15
  • Shiao-Yng Chan3,4,16,17
17 affiliations
  1. 1Department of Obstetrics and Gynaecology, National University Hospital, Singapore [email protected].
  2. 2Monash University Faculty of Medicine Nursing and Health Sciences, Melbourne, Victoria, Australia.
  3. 3Department of Obstetrics and Gynaecology, National University Hospital, Singapore.
  4. 4Department of Obstetrics and Gynaecology, NUS Yong Loo Lin School of Medicine, Singapore.
  5. 5Diagnostics Development Hub, Agency for Science Technology and Research, Singapore.
  6. 6Department of Obstetrics and Gynaecology, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong.
  7. 7Alice Lee Centre for Nursing Studies, National University Singapore Yong Loo Lin School of Medicine, Singapore.
  8. 8Yeo Boon Khim Mind Science Centre, National University of Singapore Yong Loo Lin School of Medicine, Singapore.
  9. 9Department of Obstetrics and Gynaecology, Tohoku University Hospital, Sendai, Miyagi Prefecture, Japan.
  10. 10Women and Infants Research Foundation, Subiaco, Western Australia, Australia.
  11. 11Department of Surgery, National University Hospital, Singapore.
  12. 12National University Health System, Singapore.
  13. 13Department of Biomedical Informatics, NUS Yong Loo Lin School of Medicine, Singapore.
  14. 14National University Singapore Saw Swee Hock School of Public Health, Singapore.
  15. 15Department of Obstetrics and Gynaecology, National University Centre for Women and Children (NUWoC), National University Health System, Singapore.
  16. 16Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, NUS Yong Loo Lin School of Medicine, Singapore.
  17. 17Institute for Human Potential and Development, Agency for Science Technology and Research, Singapore.
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Cite

BibTeXRIS
BibTeX
@article{li2026aipowered,
  title = {{AI-Powered CURA Application for Identifying At-Risk Pregnancies in Obstetrics Management (CURAte): protocol for a randomised controlled trial.}},
  author = {Sarah Li and Caitlin Wan Sze Por and Harshaana Ramlal and Aniza P Mahyuddin and David Y Y Tan and Jingxian Zhang and Ruifen Weng and Ling-Jun Li and Shefaly Shorey and Citra Mattar and Matthew Kemp and Kee Yuan Ngiam and Bee-Choo Tai and Mahesh Choolani and Shiao-Yng Chan},
  journal = {BMJ open},
  year = {2026},
  month = oct,
  doi = {10.1136/bmjopen-2026-124115},
  url = {https://europepmc.org/article/MED/42901589},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - AI-Powered CURA Application for Identifying At-Risk Pregnancies in Obstetrics Management (CURAte): protocol for a randomised controlled trial.
AU  - Sarah Li
AU  - Caitlin Wan Sze Por
AU  - Harshaana Ramlal
AU  - Aniza P Mahyuddin
AU  - David Y Y Tan
AU  - Jingxian Zhang
AU  - Ruifen Weng
AU  - Ling-Jun Li
AU  - Shefaly Shorey
AU  - Citra Mattar
AU  - Matthew Kemp
AU  - Kee Yuan Ngiam
AU  - Bee-Choo Tai
AU  - Mahesh Choolani
AU  - Shiao-Yng Chan
PY  - 2026
DA  - 2026/10/20
JO  - BMJ open
DO  - 10.1136/bmjopen-2026-124115
UR  - https://europepmc.org/article/MED/42901589
SN  - 2044-6055
ER  -