contextflowNEW
Level 25: Medicine, Diagnostics & Medical Technology
Health & Environment · Level 25
In short
contextflow is an AI tool in the Medicine & Medical Technology category from contextflow GmbH in Wien, Austria. The pricing model is paid. It is with a German interface.
What is contextflow?
contextflow is an AI-powered software solution designed for radiology to assist physicians in interpreting medical imaging data. The application primarily focuses on the analysis of computed tomography (CT) scans and X-rays of the chest (thorax). Powered by deep learning, the system automatically detects abnormal patterns and tissue changes in lung tissue.
Its core search feature, SEARCH&FIND, enables radiologists to locate visually similar reference cases within seconds. Beyond image comparison, the software provides relevant differential diagnoses and direct links to medical literature. This significantly speeds up the reporting process while increasing diagnostic confidence in complex or rare clinical presentations.
contextflow integrates seamlessly into existing hospital PACS (Picture Archiving and Communication System) and RIS environments. This ensures that medical professionals can leverage AI insights without leaving their familiar workflow tools. The system acts as a digital second opinion, reducing workload for radiological staff in daily routines.
Core features & strengths
- Pattern Detection & Quantitative Analysis — Automatically identifies and quantifies pathological patterns in chest CTs, such as pulmonary nodules, emphysema, or infiltrates. Results are visualized directly on the image scans.
- SEARCH&FIND Reference Database — Searches an extensive medical database for visually and clinically similar image regions. Radiologists instantly receive comparable cases along with verified diagnoses.
- Seamless PACS Integration — Interoperates directly with standard image archiving systems without breaking the clinical workflow. Analysis results are accessible immediately within the viewer.
Who is this tool for?
Radiologists, radiological technologists, and clinical imaging departments in hospitals and outpatient diagnostic centers.
Typical use case
A radiologist is evaluating a chest CT containing ambiguous lung opacities. Using contextflow, they highlight the region of interest and immediately receive visually matching cases from the database along with statistical probabilities and literature links. This assists them in rapidly narrowing down rare pulmonary conditions and delivering an accurate report.
What is contextflow good for?
- Radiologists, radiological technologists, and clinical imaging departments in hospitals and outpatient diagnostic centers.
- A radiologist is evaluating a chest CT containing ambiguous lung opacities.
- Pattern Detection & Quantitative Analysis: Automatically identifies and quantifies pathological patterns in chest CTs, such as pulmonary nodules, emphysema, or infiltrates. Results are visualized directly on the image scans.
- SEARCH&FIND Reference Database: Searches an extensive medical database for visually and clinically similar image regions. Radiologists instantly receive comparable cases along with verified diagnoses.
- Seamless PACS Integration: Interoperates directly with standard image archiving systems without breaking the clinical workflow. Analysis results are accessible immediately within the viewer.
When a different tool fits better
Not intended for general consumers seeking self-diagnosis or for medical imaging outside supported body regions and supported scan modalities.
Pricing & plans
Plans in detail
- Enterprise / Clinical IntegrationOn requestOn requestcustom
- Integration into PACS/RIS systems
- Certified medical device (CE-MDR)
- Clinical image data analysis
Good to know
- No public pricing or free tier available.
- Pricing is based on individual licensing and integration requirements.
- Demonstrations and trial periods available upon request.
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
The software and documentation are optimized for clinical deployment in English and German environments.
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Data processing takes place either on-premise within the secure hospital network or via GDPR-compliant servers located in Austria/EU.
Training on your inputs: Patient data and uploaded scans are not used for general AI model training without explicit consent and data protection agreements.
For companies: Clinical deployment requires a B2B enterprise agreement including a Data Processing Addendum (DPA) under Art. 28 GDPR and compliance with medical device regulations.
Practical advice: Designed specifically for clinical radiological images (e.g., chest CT scans) processed within authorized healthcare PACS environments.
- GDPR:
- EU data protection regulation: defines how personal data may be processed and what rights you have (access, deletion, objection).
- DPA:
- Data Processing Agreement: contractually binds the provider to process your data only on your instructions. Usually mandatory for companies.
- On-premises / local:
- The model runs on your own machine or server. Data never leaves your network — the safest option from a privacy standpoint.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
Privacy data checked on 02/08/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | contextflow GmbH |
|---|---|
| Headquarters | Wien, Austria |
| Category | Medicine & Medical Technology |
| Pyramid level | Level 25 – Medicine, Diagnostics & Medical Technology |
| Pricing model | Paid |
| Free forever option | No |
| Open Source | No |
| Entry plan | Enterprise / Clinical Integration: On request (On request) |
| German | interface and content |
| English | interface and content |
| Privacy classification | GDPR / EU |
| Data processing agreement | Clinical deployment requires a B2B enterprise agreement including a Data Processing Addendum (DPA) under Art. 28 GDPR and compliance with medical device regulations. |
Alternatives to contextflow
- Aignostics — Paid · HQ: Berlin, Germany · Unclear
- deepc — Paid · HQ: München, Germany · GDPR / EU
- mediaire — Paid · HQ: Berlin, Germany · Unclear
- Vara — Paid · HQ: Berlin, Germany · GDPR / EU
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