Public source
Reviewed 7 Aug 2026
Completeness Fair (39%)
DirectORGANS
Siemens HealthineersDirectORGANS (Optimized Reconstruction based Generative Adversarial Networks) employs an optimized reconstruction that is used as a standardized input to the Deep Learning based autocontouring algorithm. Both processes, image optimization and automatic contouring, are embedded into the CT simulator enabling results as part of the image acquisition.
No papers to support — we monitor for new evidence.
Key features
Autosegmentation of OAR
General Information
Product name
Company
Workflow phase
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Modality
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Treatment site
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Exact structures
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Regulatory Information
Pathway:
MDR
Class:
Class unknown
Not 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
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Defined prerequisite(s)
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Treatment technique
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Delivery system
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Workflow features
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Patient population age
Input
Input format
Output
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Output format
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Integration
Integration method
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API documentation availability
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API documentation, if publicly available
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TPS compatibility
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Deployment
Trigger for AI functionality
Processing time
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Retraining locally
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Claims
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Known limitations
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Market Presence
On market since
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AI Platforms
Resellers
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Countries present
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Paying clinical customers
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Research/test users
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Pricing Information
Pricing model
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Based on
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Source: Public | First published: Apr 3, 2026 | Last updated: Aug 7, 2026