GE Voluson S8

AI-powered automated ovarian follicle detection and measurement counts follicles, calculates individual volumes, and reports total antral follicle count in seconds during fertility assessments.

Translucent 3D/4D rendering that projects virtual light through tissue layers, revealing both surface and internal anatomy simultaneously for fetal assessment and gynecological evaluation.

AI-automated fetal biometry that identifies and measures head circumference, biparietal diameter, abdominal circumference, and femur length from standard obstetric views, reducing measurement time and inter-operator variability.

AI-powered anatomical view recognition for OB/GYN ultrasound that automatically identifies fetal anatomy and standard imaging planes to guide exam completeness.

GE's 3D/4D volume rendering technology that applies a movable virtual light source to ultrasound data, producing photorealistic fetal and gynecological images with natural shadows and depth.

Transfers ultrasound images, measurements, and reports directly to EMR and PACS systems using HL7 and DICOM standards, eliminating manual data entry and reducing transcription errors.

Post-processing rendering technology that applies high-definition brightness, contrast, and sharpness adjustments to B-mode images for improved tissue differentiation on GE Voluson systems.

Automatically positions the render box and optimizes 3D surface rendering parameters on Voluson systems, reducing manual adjustments for fetal imaging by up to 50%.