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Clinical trial of prenatal diagnosis artificial intelligence conduct system

Clinical trial of prenatal diagnosis artificial intelligence conduct system

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2200063424
Enrollment
Unknown
Registered
2022-09-06
Start date
2022-09-06
Completion date
Unknown
Last updated
2023-04-17

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

Conditions

Prenatal diagnosis

Interventions

Group2:Doctor + AI diagnosis was performed upon enrollment, and doctor alone diagnosis was performed after a 4-week washout period.
Group1:Individual doctor diagnosis was performed upon enrollment and AI + doctor diagnosis was performed after washout period (4 weeks)

Sponsors

The First Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 55 Years

Inclusion criteria

Inclusion criteria: 1. Pregnant women or guardians voluntarily participate in the clinical trial and sign the informed consent in person; 2. At the time of ultrasound examination, pregnant women were 11 weeks + 0 day to 32 weeks + 0 day (including 11 weeks + 0 and 32 weeks + 0 day); 3. Pregnant women suspected of fetal malformation with records (such as ultrasound diagnosis/markers of chromosomal diseases/abnormal serological tests/abnormal genetic tests/referral records, etc.); 4. Ultrasonic image data has not been used in the algorithm model training of this product.

Exclusion criteria

Exclusion criteria: 1. Twin or multiple pregnancies (except conjoined twins); 2. Fetal death in utero; 3. Participating in clinical studies of other drugs or devices during the study period; 4. Subjects deemed unsuitable for the study by the investigator.

Design outcomes

Primary

MeasureTime frame
Sensitivity and specificity in the detection of specific malformations;

Countries

China

Contacts

Public ContactXie HongNing

The First Affiliated Hospital of Sun Yat-sen University

xiehn@mail.sysu.edu.cn+86 13527870288

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Sep 12, 2026