Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.

CompletedOBSERVATIONAL
Enrollment

122

Participants

Timeline

Start Date

October 25, 2021

Primary Completion Date

April 1, 2022

Study Completion Date

April 1, 2022

Conditions
Small for Gestational Age InfantFetal Growth RestrictionOligohydramniosPolyhydramnios
Interventions
DIAGNOSTIC_TEST

Classification and segmentation deep learning models

Models that will be trained on retrospectively acquired data and run on the prospectively acquired data to extract biometric parameters and amniotic volume estimation.

Trial Locations (6)

20100

Centre de Radiologie Abou Madi, Casablanca

Centre Hospitalier Cheikh Khalifa, Casablanca

Centre Hospitalier Universitaire Ibn Rochd, Casablanca

27182

Mohamed VI University International Hospital, Casablanca

Unknown

Centre Hospitalier Universitaire Hassan II Fes, Fes

Centre Hospitalier Universitaire Mohammed VI Oujda, Oujda

All Listed Sponsors
collaborator

Centre Hospitalier Universitaire Ibn Rochd

OTHER

collaborator

Hassan II University

OTHER

collaborator

Mohammed VI University Hospital

OTHER

collaborator

Mohammed V Souissi University

OTHER

lead

Deepecho

INDUSTRY

NCT05059093 - Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans. | Biotech Hunter | Biotech Hunter