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Use of artificial intelligence in prediction of hypertension in pregnancy

Ultrasound placental image texture analysis using artificial intelligence applications to predict hypertension in pregnancy - UPAAI study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/03/031892
Enrollment
1000
Registered
2021-03-10
Start date
Unknown
Completion date
Unknown
Last updated
2025-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

ICMR
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Antenatal women of gestation age 11-14 weeks 2. Singleton pregnancy

Exclusion criteria

Exclusion criteria: 1. Not giving consent for the study 2. Known case of antiphospholipid antibodies (as they would be on enoxaparin and or heparin), diabetes 3. Nonviable pregnancy, major structural anomaly in fetus requiring termination of pregnancy

Design outcomes

Primary

MeasureTime frame
•predictive value of image texture analysis in prediction of hypertension in pregnancy •Proportion of cases with hypertension during pregnancy •Proportion of cases having other adverse outcomes. •Proportion of cases with altered image texture developing hypertension in pregnancy •Proportion of cases with altered image texture having other adverse outcomes. Timepoint: first , second and third trimester of pregnancy delivery—

Secondary

MeasureTime frame
predictive value of image texture analysis in prediction of fetal adverse outcomeTimepoint: first , second and third trimester of pregnancy delivery—

Countries

India

Contacts

Public ContactManisha Kumar

LHMC

manishaonly@gmail.com9818014887

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026