AutoFUSE or First-Trimester Ultrasound Scan

NCT07601191 — Not applicable, Not yet recruiting, 1000 participants, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

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

RegistryNCT07601191
StatusNot yet recruiting
PhaseNot applicable
Study typeInterventional; randomized, parallel, masking: triple, diagnostic
Enrollment1000 (Estimated)
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology (Other)
ConditionsFetus Disorder
InterventionsAutoFUSE system, Traditional ultrasound scan (Diagnostic test)
Datesstart 2026-06-01 (estimated), primary completion 2026-10-31 (estimated), completion 2026-12-31 (estimated), first posted 2026-05-22, last updated 2026-05-22
Locations3 sites in China

Related Papers Related Patents Related Grants Related Experts
All trials for Fetus Disorder All trials of AutoFUSE system All trials of Traditional ultrasound scan

-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.

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+Arms and interventions

ArmTypeInterventionsDescription
AutoFUSE-assisted ultrasound scanExperimentalDiagnostic Test: AutoFUSE systemAutoFUSE-assisted ultrasound scanning throughout the examination.
Traditional ultrasound scanActive comparatorDiagnostic Test: Traditional ultrasound scanStandard ultrasound scanning according to the standard clinical protocol.
  • AutoFUSE system (Diagnostic test): AutoFUSE is an AI-based intelligent image quality control system independently developed for first-trimester fetal ultrasound scan (FTFUS).
  • Traditional ultrasound scan (Diagnostic test): 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.

+Outcome measures

Primary outcomes

  • The efficiency of standard plane acquisition [Day 1]: The primary outcome was measured by the time required to obtain the prespecified standard planes during the ultrasound examination.

Secondary outcomes

  • The accuracy of standard plane acquisition [Through study completion, an average of 6 months]: The secondary outcome was assessed by whether the prespecified standard planes are correctly obtained according to predefined imaging criteria.

+Eligibility

Sex: Female, accepts healthy volunteers

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.

+Locations (3)

FacilityCityCountryStatus
Wuhan Union HospitalWuhan, HubeiChina
Zhongnan Hospital of Wuhan UniversityWuhan, HubeiChina
Renmin Hospital of Wuhan UniversityWuhan, HubeiChina