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AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management
Sponsor: National University Hospital, Singapore
Summary
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.
Official title: AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management: A Randomized Controlled Trial (CURAte)
Key Details
Gender
FEMALE
Age Range
21 Years - 50 Years
Study Type
INTERVENTIONAL
Enrollment
1700
Start Date
2025-08
Completion Date
2027-03
Last Updated
2025-07-15
Healthy Volunteers
Yes
Interventions
AI-risk Stratification
With the results being disclosed as 'high-risk' or 'low-risk' in the experimental arm, clinicians have to adhere to a specific 'high-risk' and 'low-risk' management protocol for participants.
Locations (1)
National University Hospital
Singapore, Singapore