AI platform integrations
Connect RadImages PACS to AI analysis services: route studies automatically, receive results into the reading workflow and monitor every step.
AI is becoming part of everyday radiology — for triage, detection and quantification. The hard part is not the algorithm but the plumbing: getting the right studies to the right service and bringing results back where radiologists read.
RadImages provides that plumbing. The archive routes studies to AI services by modality, body region and protocol, receives DICOM SR, secondary captures or structured results, and shows them alongside the original images in the viewer and the RIS worklist.
Routing rules
Send studies to one or several AI services based on modality, protocol and facility.
Results in the viewer
Findings, overlays and measurements appear next to the images and in the worklist.
Monitoring and logs
Delivery status, processing times and errors for every study.
Vendor-neutral
DICOM, DICOMweb and REST interfaces work with commercial and in-house models.
What we do
- Configure data exchange with the AI platform according to its integration requirements
- Set up routing of studies and result statuses
- Implement logging, monitoring and troubleshooting
- Support the integration through updates on both sides
Supported scenarios
Triage and worklist prioritisation, detection and measurement overlays, quantitative reports, and quality control of acquisitions. Results can be shown to radiologists only, to referring physicians, or written back to the HIS.
Data protection
- De-identification before sending studies outside the facility
- Encrypted transfer and access tokens for every service
- Full audit trail of what was sent, when and where
Have an AI service to connect?
Tell us which platform you use and we will propose an integration plan.