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This study will collect images from ultrasound scanning in pregnant women for developing automated solutions which could later be helpful in basic screening in pregnant women.

Prospective data collection of obstetric ultrasound scans for development of AI solutions

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/11/047758
Enrollment
500
Registered
2022-11-29
Start date
Unknown
Completion date
Unknown
Last updated
2023-01-09

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

Conditions

Health Condition 1: Z34- Encounter for supervision of normal pregnancy

Interventions

None listed

Sponsors

Philips Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Female subjects, aged 18 years or more, presenting for a routine or referred ultrasound scan with: 2. A pregnancy of 7 weeks or more than 7 weeks of gestation. 3. Singleton pregnancy or multiple pregnancy 4. Normal pregnancy or abnormal pregnancy (maternal or fetal conditions) 5. Willing and able to provide informed consent

Exclusion criteria

Exclusion criteria: 1. Pregnant women aged below 18 years. 2. Pregnancy less than 7 weeks gestation. 3. Subjects presenting with any condition that needs emergency care (as per investigatorâ??s discretion). 4. Subject unwilling or unable to provide informed consent, such as those with neurological or psychiatric or other conditions that affect the subjectâ??s understanding of the information provided with the consent form.

Design outcomes

Primary

MeasureTime frame
Data collected from about 500 pregnant women aged 18 years or more, with different presentations, gestational ages, placental positions, single or multiple pregnancies, growth abnormalities, abnormal umbilical artery doppler etc.Timepoint: Data collected for a period of about 12 months

Secondary

MeasureTime frame
NILTimepoint: NIL

Countries

India, Kenya

Contacts

Public ContactPallavi Vajinepalli

Philips Innovation Campus

pallavi.vajinepalli@philips.com9986375873

Outcome results

None listed

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