The Role of Artificial Intelligence in Screening and Democratizing Quality Prenatal Care: A Retrospective Validation on Sonograms of Fetal Brain

A Deep Learning System for the Automated Quantification and Screening of Suspected Ventriculomegaly from 2D Ultrasound Images of the Fetal Brain

Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation

Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain

A Multi-centre, Multi-Device Validation of a Deep Learning System for the Automated Segmentation of Fetal Brain Structures from Two-Dimensional Ultrasound Images

A Deep Learning System for the Automated Calliper Placement to Measure Multiple Fetal Brain Structures from Two-Dimensional Ultrasound Images

Artificial Intelligence System (AIS) to Automatically Obtain Multiple Key Sonographic Measurements of the Fetal Brain in the Axial Views: A Validation Study

Development and Validation of an Artificial Intelligence Based System for the Automated Detection of Choroid Plexus Cyst from Fetal Cranial Sonograms: A Multi-Center Retrospective Study

A Clinically-Interpretable Artificial Intelligence Based System to Automatically Detect “Lemon Sign” on Fetal Cranial Sonograms: A Multi-Center Retrospective Validation Study