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Research utilizing Artificial Intelligence (AI) in obstetric ultrasound to enhance the assessment of fetal biometry

Use of Artificial Intelligence for the ultrasound assessment of fetal biometry - Comparison of automated to manual measurement of estimated fetal weight - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/10/074871
Enrollment
100
Registered
2024-10-07
Start date
Unknown
Completion date
Unknown
Last updated
2024-10-14

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

Conditions

Health Condition 1: O00-O9A- Pregnancy, childbirth and the puerperium

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

NIL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Singleton, monochorionic diamniotic (MCDA) and dichorionic diamniotic (DCDA) twin pregnancies 2. Between 28 and 42 weeks of gestation 3. Maternal age more than 18 years

Exclusion criteria

Exclusion criteria: a)Monochorionic monoamniotic twin pregnancies b) Major fetal structural anomalies or aneuploidies c) Spontaneous or preterm premature rupture of membranes d) Maternal age less than 18 years e) Unable to give informed consent

Design outcomes

Primary

MeasureTime frame
BirthweightTimepoint: At the time of Delivery

Secondary

MeasureTime frame
a) Accuracy of manual or automated biometric measurements in singleton & in twin pregnancies compared to birthweight b) Duration of biometry performed manually versus automated in singleton compared to twin pregnancies c) Evaluation of factors affecting image quality & accuracy of ultrasound estimation of fetal weight: maternal BMI, gestational age, amniotic fluid level measured by deepest vertical pocket (DVP) Timepoint: Between 36 & 42 weeks of gestation

Countries

India

Contacts

Public ContactDr K Aparna Sharma

AIIMS New Delhi, Department of Obstetrics and Gynaecology

kaparnasharma@gmail.com09711824415

Outcome results

None listed

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