Interpretation of Fetal Echocardiography by Artificial Intelligence
NCT05090306 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2021-10-22
Summary
The study to be performed aims to design and develope an automated Intelligent Decision Support System for fetal echocardiography that can significantly assist the obstetric physician in the improvement of detection of fetal congenital heart disease compared to the common standard of care.
Conditions
- Congenital Heart Disease
Interventions
- DIAGNOSTIC_TEST
-
Routine ultrasound examination
ULTRASOUND EXAMINATION Women recruited to take part in the study will undergo the routine ultrasound examinations and monitoring, including a fetal echocardiogram between 12-13+6 weeks of gestation (for the first trimester cases) and between 18-24 weeks of gestation (for the second trimester cases). Two-dimensional evaluation of each fetal heart will include a cine loop sweep obtained from the from the four-chamber view plane by moving the transducer cranially towards the upper mediastinum, allowing the visualization of the following planes: four-chamber view, left and right ventricular outflow tracts, three vessels and trachea view. The examination will be stored for further analysis.
Sponsors & Collaborators
-
Romanian Institute of Science and Technology, Cluj-Napoca, Romania
collaborator UNKNOWN -
MEDGIN/GINECHO Clinic
collaborator UNKNOWN -
University of Medicine and Pharmacy Craiova
lead OTHER
Principal Investigators
-
Dominic G Iliescu, Assoc. Prof. · University of Medicine and Pharmacy Craiova
-
Anda Ungureanu, PhD(c) · University of Medicine and Pharmacy Craiova
-
Rodica Nagy, PhD(c) · University of Medicine and Pharmacy Craiova
Eligibility
- Min Age
- 18 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-11-01
- Primary Completion
- 2022-10-31
- Completion
- 2022-10-31
Countries
- Romania
Study Locations
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