Status:

RECRUITING

Quality Control of Ultrasound Images During Early Pregnancy Via AI

Lead Sponsor:

Chinese Academy of Sciences

Collaborating Sponsors:

Beijing Obstetrics and Gynecology Hospital

Peking University Third Hospital

Conditions:

Early Pregnancy

Eligibility:

FEMALE

20+ years

Brief Summary

This research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections. In collaboration with prominent medical institutions, ...

Detailed Description

This research is dedicated to integrating artificial intelligence technology to optimize the quality control process of early pregnancy ultrasonography. The ultrasound images involved primarily focus ...

Eligibility Criteria

Inclusion

  • Women in early pregnancy who have detailed personal information and ultrasound images.
  • The ultrasound images should clearly show the fetus's median sagittal, NT, and choroid plexus views.

Exclusion

  • Ultrasound images from women in mid to late pregnancy.
  • Ultrasound images that are unclear or blurry, making evaluation difficult.
  • Women who did not provide complete personal and medical information during the ultrasound scan.

Key Trial Info

Start Date :

September 1 2023

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

July 30 2028

Estimated Enrollment :

400 Patients enrolled

Trial Details

Trial ID

NCT06002412

Start Date

September 1 2023

End Date

July 30 2028

Last Update

September 8 2023

Active Locations (4)

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Page 1 of 1 (4 locations)

1

Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University

Beijing, China

2

Peking University Third Hospital

Beijing, China

3

Changsha Hospital for Maternal and Child Health Care

Changsha, China

4

Second Xiangya Hospital of Central South University

Changsha, China

Quality Control of Ultrasound Images During Early Pregnancy Via AI | DecenTrialz