Clinical Validation of an Artificial Intelligence System for Determining Fetal Lie and Position in 3rd Trimester
This prospective clinical validation study aims to evaluate the diagnostic performance of an artificial intelligence (AI)-based navigational support system for determining fetal lie and presentation during third-trimester ultrasound examinations. Following routine clinical assessment by an expert clinician, three blind ultrasound sweeps will be obtained from each participant. The AI system will generate predictions of fetal lie and presentation from each sweep, which will be compared with the expert clinician's assessment as the reference standard. The study will also explore clinician perceptions of the system's usability and potential clinical value.
A Comparative Study of AI Methods for Fetal Diagnostic Accuracy in Ultrasound
AI Support in Novice's Decision-making for Ultrasound Fetal Weight Estimation
Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation
Comparing Artificial Intelligence and Standard Ultrasound Methods for Estimating Fetal Weight in Pregnancy. Patients Eligible for Inclusion Are Women With a Gestational Age Between 24-42 Weeks Undergoing a Growth Scan. The Image Data From the Scan Are Used to Calculate Fetal Weight.
AIRFRAME: Artificial Intelligence for Recognition of Fetal bRain AnoMaliEs at Second Trimester Fetal Brain Scan