GE Invenia ABUS 2.0

Volume acquisition and rendering technology that reconstructs three-dimensional images from multi-angle ultrasound data for fetal anatomical assessment, breast imaging, and surgical planning.

AI-powered detection tool on GE Invenia ABUS 2.0 that identifies regions of interest in automated breast ultrasound volumes, flagging potential lesions for radiologist review and reducing read time.

Automatically starts image processing after a configurable delay on GE Invenia ABUS, eliminating the manual step of pressing Process after each acquisition.

Ergonomic design and scanning features on the Invenia ABUS system that reduce patient discomfort during automated breast ultrasound exams.

Analyzes lesion morphology including shape, margins, echogenicity, and vascularity on GE Invenia ABUS to support BI-RADS classification and reduce unnecessary biopsies.

Automatically acquires and stitches multiple ultrasound images into a single panoramic view, giving clinicians continuous visualization of large anatomical structures without manual repositioning.

Deep-learning algorithms automatically detect, segment, and measure lesions in breast, liver, and thyroid ultrasound, providing consistent boundaries and dimensions that support faster diagnostic decisions.

AI-based automation on GE Invenia ABUS that adjusts imaging parameters, applies scan protocols, and documents findings automatically to reduce manual input during breast ultrasound exams.