AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management

It is important to identify high pregnancies early through screening so that appropriate care and intervention may be instituted. An AI-assisted risk categorisation approach may be advantageous compared with traditional means of screening. The purpose of this study is to determine if the adoption of an AI-assisted approach in general pregnancy risk screening will improve the accuracy of antenatal risk categorization into high- and low- risk pregnancy groups, ultimately resulting in fewer poor maternal and fetal/neonatal outcomes.

NCT Number	NCT06974188
Lead Sponsor	National University Hospital, Singapore Collaborators: National University of Singapore, National University of Singapore, Saw Swee Hock School of Public Health, Agency for Science, Technology and Research (A*STAR)
Conditions	High-risk Pregnancy, Pregnancy, Antenatal Health
Enrollment	1,700 participants
Start Date	2025-08
Primary Completion	2026-09 (estimated)
Study Completion	2027-03 (estimated)
Updated on ClinicalTrials.gov	2025-07-15