Public source
Reviewed 7 Aug 2026
Completeness Fair (39%)
syngo.via RT Image Suite
Siemens HealthineersDeep-learning based autocontouring with machine learning-trained algorithms for CT.
AI-powered algorithm for MR-only workflow in pelvis and brain.
No papers to support — we monitor for new evidence.
Key features
Autosegmentation of OAR
General Information
Product name
Company
Workflow phase
Modality
Treatment site
Exact structures
Regulatory Information
Pathway:
MDD
Class:
Class unknown
Not verified by Health AI Register
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
No research papers or evidence on file yet.
The registry monitors publications for new evidence.
Technical Specifications
Prerequisites
Not specified
Defined prerequisite(s)
Not specified
Treatment technique
Delivery system
Not specified
Workflow features
Not specified
Patient population age
Not specified
Input
Input format
Output
Not specified
Output format
Integration
Not specified
Integration method
Not specified
API documentation availability
Not specified
API documentation, if publicly available
Not specified
TPS compatibility
Not specified
Deployment
Not specified
Trigger for AI functionality
Not specified
Processing time
Not specified
Retraining locally
Not specified
Claims
Not specified
Known limitations
Not specified
Market Presence
On market since
Not specified
AI Platforms
Resellers
Not specified
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Source: Public | First published: Aug 7, 2026 | Last updated: Aug 7, 2026