This software utilizes AI technology to automatically identify several standard sections that need to be scanned during liver and gallbladder scanning (including left liver, right liver, right kidney, gallbladder, left and right portal vein intersection, hepatic vein inferior vena cava intersection, etc.), greatly improving the accuracy and efficiency of doctor scanning.

This software adopts a self-developed ultrasound image classification algorithm and nonlinear imaging technology, using 10000 ultrasound data for model training and testing.

This software is mainly used for liver and gallbladder ultrasound examination in physical examination centers and liver disease screening in primary medical institutions. There are over 700 million cases of chronic liver disease worldwide, with over 431 million chronic liver disease patients in China, of which nearly 100 million are infected with hepatitis B or hepatitis C virus, which is the main pathogenic factor for liver cancer. Liver ultrasound examination is one of the main methods for liver examination. However, due to the relatively large size of the organs and the multiple scanning sections, it takes a long time.

This software helps doctors quickly identify standard liver and gallbladder sections, improve scan consistency, and reduce scan and film differences.

Using ultrasound models: GE/Philips/Mindray/Domestic handheld ultrasound

Available computing units: mobile phone/NVIDIA Xavier/computer/Cloud

Available deployment platforms: Android/Windows/Linux

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