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

NCT06974188 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1700

Last updated 2025-07-15

No results posted yet for this study

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.

Conditions

  • High-risk Pregnancy
  • Pregnancy
  • Antenatal Health

Interventions

OTHER

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.

Sponsors & Collaborators

  • National University of Singapore

    collaborator OTHER

  • National University of Singapore, Saw Swee Hock School of Public Health

    collaborator UNKNOWN

  • Agency for Science, Technology and Research (A*STAR)

    collaborator OTHER_GOV

  • National University Hospital, Singapore

    lead OTHER

Principal Investigators

  • Sarah Li, MRCOG, MPH · National University Hospital, Singapore

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
21 Years
Max Age
50 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-08-31
Primary Completion
2026-09-30
Completion
2027-03-31

Countries

  • Singapore

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06974188 on ClinicalTrials.gov