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Obstetric ultrasound quality assessment and intervention model based on artificial intelligence (AI) technology

Obstetric ultrasound quality assessment and intervention model based on artificial intelligence (AI) technology

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200067209
Enrollment
Unknown
Registered
2022-12-29
Start date
2021-12-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

None listed

Interventions

Group 1:AI-based quality control
Group 2:AI-based quality control + a tailor-made course
Group 3:AI-based quality control + a tailor-made course + a catalogue of obstetric ultrasound quality assessment
Group 4:AI-based quality control + a tailor-made course + a catalogue of obstetric ultrasound quality assessment + telemedicine

Sponsors

West China Second University Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Medical institutions that carry out obstetric ultrasound services; 2. Physicians or technicians engaged in prenatal ultrasound; 2. Voluntarily join the study and sign the informed consent.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
Accuracy of ultrasound planes;Completeness of ultrasound planes;Accuracy of estimated fetal weight;—

Countries

China

Contacts

Public ContactZhu Jun

West China Second University Hospital, Sichuan University

zhu_jun1@163.com+86 13608058108

Outcome results

None listed

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