A Comparative Study of AI Methods for Fetal Diagnostic Accuracy in Ultrasound
NCT06268392 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 150
Last updated 2024-02-22
Summary
This study serves as a supplemental investigation to the randomized controlled SCAN-AID study (NCT0632187). This study will evaluate and compare the fetal growth estimation outcomes of AI-supported groups, expert sonographers, and control groups using a secondary AI predictive model.
Conditions
- Fetal Growth Retardation
- Fetal Macrosomia
- Fetal Growth
Sponsors & Collaborators
-
Slagelse Hospital
collaborator OTHER -
Technical University of Denmark
collaborator OTHER -
Rigshospitalet, Denmark
collaborator OTHER -
Copenhagen Academy for Medical Education and Simulation
lead OTHER
Principal Investigators
-
Martin Tolsgaard · CAMES rigshopsitalet
Eligibility
- Min Age
- 18 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-02-15
- Primary Completion
- 2024-08-01
- Completion
- 2024-08-01
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