Deep Learning-based Quality Control of Ultrasound Images During Early Pregnancy
Status: Recruiting
Location: See all (4) locations...
Intervention Type: Other
Study Type: Observational
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.
Eligibility
Participation Requirements
Sex: Female
Minimum Age: 20
Healthy Volunteers: t
View:
• 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.
Locations
Other Locations
China
Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University
RECRUITING
Beijing
Peking University Third Hospital
RECRUITING
Beijing
Changsha Hospital for Maternal and Child Health Care
RECRUITING
Changsha
Second Xiangya Hospital of Central South University
RECRUITING
Changsha
Contact Information
Primary
Di Dong, Ph.D
di.dong@ia.ac.cn
+86 13811833760
Backup
Yali Zang, Ph.D
yali.zang@ia.ac.cn
Time Frame
Start Date:2023-09-01
Estimated Completion Date:2028-07-30
Participants
Target number of participants:400
Treatments
Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University
Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.
Peking University Third Hospital
Peking University Third Hospital collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.
Changsha Hospital for Maternal and Child Health Care
Changsha Hospital for Maternal and Child Health Care collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.
Second Xiangya Hospital of Central South University
Second Xiangya Hospital of Central South University collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.
Collaborators: Changsha Hospital for Maternal and Child Health Care, Peking University Third Hospital, Beijing Obstetrics and Gynecology Hospital, Second Xiangya Hospital of Central South University