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AutoFUSE or First-Trimester Ultrasound Scan

Validation of an AI-based Intelligent Image Quality Control System for First-Trimester Ultrasound Scan: a Stepwise, Multicenter, Randomized Clinical Trial in China

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07601191
Enrollment
1000
Registered
2026-05-22
Start date
2026-06-01
Completion date
2026-12-31
Last updated
2026-05-22

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

Conditions

Fetus Disorder

Keywords

First-trimester ultrasound, Artificial intelligence, Standard plane, Image quality control, Randomized clinical trial

Brief summary

The goal of this clinical trial is to validate the clinical application capabilities of AutoFUSE. The main questions it aims to answer are: Does AutoFUSE reduce the time required to obtain standard planes in first-trimester ultrasound scan? Does AutoFUSE improve the accuracy of standard plane acquisition in first-trimester ultrasound scan? What safety outcomes occur in participants undergoing AutoFUSE-assisted ultrasound examination? Researchers will compare AutoFUSE-assisted ultrasound scan with standard clinical protocol (SCP) ultrasound scan to evaluate the efficacy and safety of AutoFUSE in clinical practice. Participants will: Undergo either AutoFUSE-assisted ultrasound scan or standard clinical ultrasound scan according to the study design. Complete scheduled visits for examinations, data collection and follow-up. Provide information related to scan time, image quality and safety during the study.

Interventions

DIAGNOSTIC_TESTAutoFUSE system

AutoFUSE is an AI-based intelligent image quality control system independently developed for first-trimester fetal ultrasound scan (FTFUS).

DIAGNOSTIC_TESTTraditional ultrasound scan

Traditional ultrasound scan means the standard clinical ultrasound examination performed by sonographers using routine manual operation to acquire predefined standard anatomical planes, without real-time AI assistance, automatic plane recognition, or automatic image quality assessment. All plane acquisition and quality evaluation are completed manually by the operator.

Sponsors

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
FEMALE
Healthy volunteers
Yes

Inclusion criteria

① Pregnant women undergoing fetal ultrasound examination. ② A singleton pregnancy with a live fetus between 11 and 13+6 weeks with complete outcomes.

Exclusion criteria

* Incomplete pregnancy outcome information. * Unexplained miscarriages. ③ Fetal death. * Pregnancies with significant maternal complications. * Multiple pregnancies.

Design outcomes

Primary

MeasureTime frameDescription
The efficiency of standard plane acquisitionDay 1The primary outcome was measured by the time required to obtain the prespecified standard planes during the ultrasound examination.

Secondary

MeasureTime frameDescription
The accuracy of standard plane acquisitionThrough study completion, an average of 6 monthsThe secondary outcome was assessed by whether the prespecified standard planes are correctly obtained according to predefined imaging criteria.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 23, 2026