AI-guided ultrasound acquisition that helps frontline clinicians capture the views they need with real-time guidance.
Frontline teams may not always have the expertise needed to capture diagnostic-quality ultrasound images, especially when skilled coverage is limited or unavailable off-hours.
AI guides probe positioning, helps capture optimal frames, and can flag abnormalities during supported workflows. It can work with existing ultrasound systems or a handheld probe, while physicians remain responsible for clinical interpretation.
Help operators capture the required views the first time.
Reduce repeat scans and callbacks caused by incomplete studies.
Support installed ultrasound systems without a rip-and-replace.
The operator captures the target anatomy using the installed ultrasound system or supported handheld workflow.
AI provides real-time positioning, image-quality, and measurement support while the exam is being performed.
The clinician reviews the acquired images, measurements, and surfaced findings within the clinical workflow.
Support time-sensitive bedside ultrasound workflows when specialist coverage is limited.
Extend guided acquisition capabilities to facilities with fewer imaging specialists on site.
Guide operators toward consistent diagnostic views for common point-of-care workflows.
Support standardized image acquisition in maternal and prenatal assessment workflows.
Enable remote specialists to support frontline teams with more consistent image capture.
Use guided acquisition feedback to reinforce technique and accelerate operator confidence.
Connect Intelligent Detection to existing clinical systems and workflows without rebuilding the environment around it.
Start with the healthcare workflow where the need is clearest, validate value with the clinical team, and expand across the portfolio on the same connected foundation.
.png?width=225&height=57&name=Untitled%20design%20(20).png)