Real-time AI image analysis for obstetric ultrasound

ScanNav™ Assist is the power behind GE Healthcare’s SonoLyst software, integrated into Voluson SWIFT and Voluson Expert 22 ultrasound machines. We have a long-term license and co-development agreement for our ScanNav Assist AI software with GE Healthcare, one of the world’s leading ultrasound scanner manufacturers.

“I have worked in the field of AI in ultrasound for over ten years, yet I am still amazed at the level of accuracy that has been achieved. You can really see how Intelligent Ultrasound’s AI technology, incorporated in the SonoLyst software, will improve efficiency, make the learning of ultrasound easier and reduce omissions and errors. It’s a big advance for ultrasound imaging in women’s health”

Prof. Aris Papageorghiou, Professor of Fetal Medicine, St George’s Healthcare NHS Trust, London

GE’s SonoLyst software on the Voluson SWIFT and Voluson Expert 22 uses ScanNav Assist to support obstetric scanning

SonoLyst is the world’s first fully integrated AI tool that recognizes the 20 views recommended by the International Society of Ultrasound in Obstetrics and Gynaecology mid-trimester practice guidelines for fetal sonography imaging. It features three applications that leverage Intelligent Ultrasound’s AI technology: SonoLystIR SonLystX and SonoLystLive


Powered by ScanNav Assist

SonoLystIR performs automated detection of the key scanning views and automated selection of the relevant Voluson SonoBiometry measurement tools, enhancing workflow and reducing variability between operators for improved consistency.


A virtual onboard ultrasound expert

SonoLystX uses AI to compare the acquired image to standardized criteria, to ensure that it meets clinical standards. SonoLystX can help enhance accuracy and quality and is ideal for teaching, training, and quality assurance to ensure the highest quality image standards and consistency.


A new level of Efficiency

No freezing, no annotating, no storing. SonoLystlive takes image recognition to the next level by capturing images as you scan, in real-time. Using ISUOG practice guidelines, the system recognizes the anatomy as you scan, captures the image and checks it off the list of required views significantly reducing keystrokes and exam time. 

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