GE Versana Balance

Real-time AI-driven image optimization that automatically adjusts brightness, contrast, and depth during live scanning, reducing manual knob adjustments across exam types.

Image processing technology automatically detects and highlights the needle in real-time ultrasound during guided procedures, improving visibility and placement accuracy for biopsies, injections, and nerve blocks.

AI-powered anatomical recognition that automatically labels ultrasound images with the correct body marker and view annotation during scanning, removing manual annotation from the exam workflow.

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.

On-screen step-by-step scanning guidance that overlays probe placement instructions and anatomical landmarks on the ultrasound display, reducing exam variability across operators.

On-system reporting tool that combines ultrasound images, measurements, and voice or text annotations into preformatted clinical reports, reducing post-exam documentation time.

Protocol-driven workflow automation that reduces keystrokes by up to 79% and exam time by up to 54% through guided image capture, labeling, and measurement sequences.

Automatically recalls imaging parameters from a patient's prior exam and displays previous and current images side by side for consistent longitudinal comparison.