Clinical Trial

Quality Control of Ultrasound Images During Early Pregnancy Via AI

Recruiting
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Record status
This record was last updated September 8, 2023 (before its estimated December 31, 2023 completion). Its status may not reflect the trial's current state.
Summary
This research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections. In collaboration with prominent medical institutions, the investigators have amassed extensive fetal ultrasound data. The investigators aim to develop a deep learning model that can accurately identify essential anatomical areas in ultrasound images and evaluate their quality. This tool is expected to significantly decrease misdiagnoses of conditions like Down Syndrome and neural system deformities by ensuring real-time image quality assessment.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2023-08-13.
Trial Details
NCT Number NCT06002412
Lead Sponsor Chinese Academy of Sciences
Collaborators: Beijing Obstetrics and Gynecology Hospital, Peking University Third Hospital, Changsha Hospital for Maternal and Child Health Care, Second Xiangya Hospital of Central South University
Conditions Early Pregnancy
Enrollment 400 participants
Start Date 2023-09-01
Primary Completion 2023-12-31 (estimated)
Study Completion 2028-07-30 (estimated)
Updated on ClinicalTrials.gov 2023-09-08