Deep Learning-
Based Tools to
Improve Radiology Workflows

Medical Devices


Foo Bar

contextflow SEARCH provides clinical decision support system for 19 patterns + nodule detection

Preliminary test results show average reading time is 31% shorter with a trend towards improved diagnostic accuracy for both junior and senior radiologists.*


*not yet published results


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In Development



contextflow TRIAGE draws your attention to where it’s needed most: time-critical patients. Once a scan is processed, contextflow TRIAGE identifies patients with known disease patterns present, allowing you to reorder your worklist and prioritize these individuals while reducing any backlogs. The settings are customizable, enabling radiologists to remain in the driver’s seat throughout the entire diagnostic process. And just like contextflow SEARCH, contextflow TRIAGE integrates directly into your RIS/PACS.

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I really like the transparency of contextflow SEARCH as opposed to other black box AI solutions. It’s designed to support my workflow while leaving the final decision up to me.

Elmar Kotter

Vice Chair and Head of Imaging Informatics at the Department of Radiology at Freiburg University Medical Center


After using and advising several radiology AI software companies, I can say that what contextflow offers is actually the next generation of AI products to support the radiologist, not replace them. Their general approach means they recognize all relevant findings, not just one.

Anand Patel

MD, Chief of Interventional Radiology, Providence Little Company of Mary Medical Centers


We’re very interested in using AI to improve the hospital experience for both doctors and patients; contextflow’s use of deep learning, particularly for lung diseases, is exactly the type of technology we want to evaluate. I very much look forward to the results.

Christian Herold

Head of Radiology at Vienna General Hospital


At Dubrava University Hospital, we take pride in providing the best care possible to our patients. There are many AI radiology solutions, but we agreed to the proof of concept with contextflow because their solution provides real value, particularly for new residents.

Boris Brkljacic

President of the European Society of Radiology


We are very interested in using tools based on artificial intelligence like contextflow SEARCH to support the decision in the diagnostic process based on the image.

Lluís Donoso Bach

President of the International Society of Radiology


Markus Holzer

AI in radiology will increasingly be adopted in clinical routine, augmenting radiologists in mundane and simple tasks as well as providing them with all the relevant context to enable fast and high quality reporting

We’re always looking for curious individuals to join our team in Vienna, the world’s most liveable city!
View our current openings here.


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