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- …
- About Us
- Our Products
- Handheld Ultrasound
- Ultrasound for Research Use
- Portable Ultrasound
- Specialty Ultrasound
- USONO Dynamic Measurement
- Book a Demo
- Echo-Int Academy
- Support & Services
- Downloads
- ASUS MediConnect Tutorials
- Technical Document
- About Us
- Our Products
- Handheld Ultrasound
- Ultrasound for Research Use
- Portable Ultrasound
- Specialty Ultrasound
- USONO Dynamic Measurement
- Book a Demo
- Echo-Int Academy
- Support & Services
- Downloads
- ASUS MediConnect Tutorials
- Technical Document
- …
- About Us
- Our Products
- Handheld Ultrasound
- Ultrasound for Research Use
- Portable Ultrasound
- Specialty Ultrasound
- USONO Dynamic Measurement
- Book a Demo
- Echo-Int Academy
- Support & Services
- Downloads
- ASUS MediConnect Tutorials
- Technical Document
SUDA Automated Training Workflow
Train AI Without Coding – Just Three Simple Steps for Clinicians
1Data Collection & Annotation
2Cloud-Based Model Training
3Edge-Based Inference
Step 1: Data Collection & Annotation
Clinical staff use the EchoVIU® SUDA platform to collect data by scanning the target anatomical area and saving the ultrasound images.
Step 2: Cloud-Based Model Training
Physicians can annotate the target region directly via the software interface. The labeled data is then uploaded to the cloud for AI model training.
Step 3: Edge-Based Inference
Once the SUDA model is trained, the model weights are downloaded to the EchoVIU® platform, enabling real-time AI inference capabilities at the edge.
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