EchoVIU provides a specialized mode l that uses signal processing algorithms to provide indicators to assist clinicains in diagnosing liver disease. In USI mode, both quantitative and qualitative information can be obtained:

• Quantitative Infomration：A special ultrasoudn signal processing algorithn is developing to calculate the ultrasound steartosis index (USI) as a indicator to aim clinicams to diagnosis fatty liver servity and the liver fibrosis.
• Qualitative Information: Converting USI to 0 to 100 scores and using the color coding techniques to overlay the color on B-mdoe can provide clinicans to see the regional fatty liver Severity and liver fibrosis Severity.

EchoVIU also provides an AI framework, Specialist Ultrasoudn Diagnosis Aim, SUDA for clinicals to collect the data, training the data, and inferencing the data. EchoVIU provide a comprehansive AI tools from data colleciton as below.

• Ultrasoudn Data Collection: Using EchoVIU as a carrier to collect ultrasound data, clinicals can label the acquirred data very easily.
• Automatic AI Model Training: Clinicans can upload the labeded ultrasound data to cloud for data training.
• Real-Time Inference: The the trained mode weight will download to EchoVIU then the EchoVIU can perform the AI inference by the downloaded model weight.

A example is using EchoVIU combinated SUDA framework to segment all the tissues and record the same ultrasoufn imaging plane, which can provide clinicals to evaluate the rehabilitation performance.

In addition to providing specialist mode, EchoVIU also provides conventional ultrasound imaging modes, including:

• B-mode
• CF-mode (Color Flow Mode)
• PD-mode (Power Doppler Mode)
• PW-mode (Pulse Wave Doppler Mode)
• M-mode (Motion Mode)