Connecting diagnostic services
for smarter radiology workflows
codis bundles certified, radiologist-reviewed AI solutions on a single platform. Imaging data is automatically routed to the most suitable AI – and results are delivered back into the existing PACS. No extra effort, no manual submissions, no tedious vendor evaluation.
mission
AI is not coming to radiology — it is already reshaping it
codis is a PACS-connected platform for radiology that automates the secure flow of imaging data to certified external AI services and returns results directly into the existing clinical workflow. Built to work in the background, codis enables seamless AI integration without manual uploads, additional tools, or disruption to reporting routines. Its architecture is privacy-first, AI-agnostic, and designed for compatibility with established radiology environments.
codis enables the practical integration of certified external AI into radiology. It provides the infrastructure for secure, scalable, and seamless adoption within existing clinical environments, helping healthcare providers connect innovation with routine care in a way that is efficient, dependable, and easy to implement.
codis’ ambition is to help shape the future of radiology by making the use of AI more practical, accessible, and ready for everyday clinical routine. Meaningful innovation happens when advanced technology fits naturally into existing clinical environments. codis wants to support a more connected, efficient, and forward-looking radiology system.
How codis works
From image to insight
01
Automatic detection In PACS
codis continuously monitors connected PACS environments and automatically detects eligible DICOM studies – no manual upload, no manual trigger, no interruption to the reporting workflow.
02
Routing & pseudonymization
Imaging data is pseudonymized before external transfer and securely routed to the appropriate certified AI service based on configurable study criteria.
03
Analysis by external AI service
Medical analysis is performed by carefully selected certified external AI providers. codis acts as the orchestration and integration layer, not the diagnostic engine itself.
04
Transmission of results in codis
The evaluations are transferred to codis. codis re-pseudonomized the data and assigns to the respective client.
05
Results back into PACS
AI-generated results are returned as structured DICOM and delivered directly into the existing PACS within minutes, where they are available alongside the original study.
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Why codis
Zero Manual Effort
Eligible studies are detected and processed automatically without manual uploads or manual AI triggering by medical staff.
On-Premise Privacy Protection
Patient-identifying data is pseudonomized before transfer. Re-identification happens locally on the codis Bridge only.
No Workflow Disruption
Results return directly into PACS as standard DICOM, so radiologists work in their existing environment.
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Partners and clients
FAQ
Frequently asked questions
What is codis?
codis is a PACS-connected platform that automatically detects eligible radiology studies, routes imaging data securely to certified external AI services, and returns results directly into the existing PACS workflow. It is designed to enable AI integration without manual uploads, separate user tools, or disruption to clinical reporting.
How does codis work within the radiology workflow?
codis runs in the background. It automatically identifies suitable DICOM studies in the PACS, pseudonymizes the data, and forwards it to the appropriate AI service. The results then appear directly in the PACS – without manual upload or separate provider selection by the radiologist.
Does codis perform medical diagnoses?
No. codis is an infrastructure and routing platform. The medical analysis is performed exclusively by the connected, certified external AI services. Clinical decision-making and responsibility for reporting remain with the radiologist.
How do results get back into the PACS?
After evaluation by the external AI service, codis automatically transfers the results back into the customer’s existing PACS within minutes — in a DICOM-compatible format.
How is data protected?
codis pseudonymizes all image data before forwarding it to external AI services. The platform is designed for use in clinical environments and follows applicable data protection requirements.
Which systems can connect to codis?
codis is designed as a PACS-connected platform layer and can be integrated into existing radiological IT infrastructures. The specific connection is coordinated individually.
How are AI services integrated?
codis curates and integrates certified AI services that have been reviewed by radiologists. Selection and integration are handled centrally via codis – with one contractual partner and one technical integration.
How can I get in touch?
Use the contact form on this page or email us directly. We look forward to hearing from you.