Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation
Start Date
6/29/2026
Completion Date
12/1/2026
Summary
Purpose: The primary objective of this study is to assess the diagnostic accuracy of an AI-enabled ultrasound tool for estimating fetal weight Participants: 1,000 pregnant individuals Procedures (methods): This prospective diagnostic accuracy study will enroll 1,000 pregnant individuals within one week of anticipated delivery. At a single visit, each participant will undergo two ultrasound assessments: (1) standardized sweeps for AI analysis (performed by both specialist and nonspecialist users), (2) specialist-performed fetal biometry.
Eligibility Criteria
Age Range: 18 years to No maximum
Interventions
AI ultrasound diagnostic tool for fetal weight estimation
Conditions
Locations
Ochsner Health
New Orleans, Louisiana 70115
United States
University of North Carolina
Chapel Hill, North Carolina 27516
United States
University of Saskatchewan
Saskatoon, Saskatchewan
Canada
University of Rwanda
Kigali,
Rwanda
University Teaching Hospital
Lusaka,
Zambia