The platform

One marketplace instead of many silos

jung radiology brings together vetted AI modules from different third-party vendors on a single platform — with unified integration into PACS and RIS and a central reporting module for the radiologist.

Architecture

From imaging to a structured report

Data sources

PACS & RIS

The platform receives image data and report context from your existing systems.

PACS · image data · DICOM
RIS · reports · HL7
AI marketplace

jung radiology platform

Curated modules from different vendors analyze the data.

Brain MRI Chest CT Brain CT DAT-SPECT Volumetry External AI
Results

Reporting module

The radiologist reviews the AI findings — and the results flow back.

↩ Structured reports → RIS (HL7)
↩ Biomarkers & annotations → PACS
At its core: The radiologist keeps working in their familiar environment. AI results flow in automatically through standardized interfaces — no system switching, no extra procurement effort per module.
Integration

Deep integration with your infrastructure

jung radiology connects directly to your clinical IT ecosystem through established standards. Results appear automatically where you expect them — with no media break.

PACS integration

DICOM
  • Automatic receipt of image data from the PACS
  • Biomarkers and annotations written back as DICOM objects
  • Results visible directly in the radiologist's image viewer

RIS integration

HL7
  • Structured report text handed over to the RIS
  • Text blocks for findings and assessment from a stored database
  • Report structure in accordance with DIN 25300-1 (2018)
Reporting module

One central access point to all AI findings

Through the reporting module, the radiologist accesses the results of all AI modules — case-based, structured, and traceable.

1

Central access

All AI findings for a case in one place — no system switching.

2

Structured reports

Text blocks per DIN 25300-1, pre-populated automatically.

3

Transparency & control

AI results remain reviewable — the radiologist decides.

Go to the reporting module
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jung radiology AI findings
Brain MRI · lesion analysis Report ready
Brain volumetry Report ready
Neurodegeneration (BVL rate) In progress
Chest CT · pulmonary nodules Report ready

Illustrative representation of the interface.

The value

More efficiency, control, and transparency

1

Efficiency

Automated pre-reading and structured text save time — a single access point instead of many tools.

2

Quality & control

Quantitative biomarkers and reproducible measurements support reporting; the radiologist retains decision authority.

3

Scalability

New AI modules can be added without new integration projects — the platform grows with your needs.

Ready to integrate?

We'll advise you on connecting to your PACS and RIS and on the right AI modules.

Get in touch