New AI system automatically detects poor-quality ultrasound sweeps to ensure reliable fetal imaging in resource-limited settings

Blind Sweep Obstetric Ultrasound (BSOU) enables minimally trained operators to perform fetal imaging in low-resource settings with AI interpretation

Study evaluates how acquisition errors like reversed sweep direction, probe inversion, and incomplete sweeps impact three critical AI tasks: sweep classification, fetal presentation detection, and placenta location identification

Researchers developed automated quality-assessment models that can detect protocol deviations and perturbations in ultrasound acquisition

Simulations model real-world deployment scenarios with feedback loops to test system robustness and reliability