Vetted AI modules from different vendors — bundled on a single platform and seamlessly integrated with your PACS and RIS.
The number of approved AI tools in radiology keeps growing. Yet each application has to be procured, integrated, and operated on its own — with its own login, its own interface, and its own integration effort.
jung radiology solves this: a curated marketplace that brings together AI modules from different third-party vendors and delivers them straight into your workflow through standardized interfaces.
See how it works →All AI modules available centrally — instead of many separate systems.
In-house and external algorithms, curated to each customer's needs.
DICOM to the PACS, HL7 to the RIS — results land where the work happens.
Structured, transparent AI findings and accompanying training.
The radiologist keeps working in their familiar environment. AI results flow in automatically through standardized interfaces.
Image data arrives via DICOM from the PACS, and report context via HL7 from the RIS.
Curated modules from different vendors analyze the data — from brain MRI and DAT-SPECT to chest CT.
The radiologist reviews the AI findings in the reporting module. Structured reports go back to the RIS, biomarkers to the PACS.
In-house developments from years of research with university hospitals, complemented by curated modules from external vendors — organized by modality.
Lesion analysis, brain volumetry, neurodegeneration, and focal tissue loss (VBM).
Hemorrhage exclusion plus screening-compliant detection of pulmonary nodules.
Detection of nigrostriatal degeneration on DAT-SPECT data.
Figures from internal validation against radiological readers. Please verify against current data before external use.
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Talk to us about connecting to your PACS and RIS — we'll advise you on the right modules.