Comprehensive quantitative profiling of a patient with every chest CT

Whether you want to create cohorts of similar patients based on image characteristics or predict risk outcomes or treatment response, contextflow can help.

Biomarkers for Clinical Trials
Effective clinical trials require precise, objective biomarkers evaluated consistently during the trial, across both patients and centers. Designed for large-scale batch analysis, ADVANCE Chest CT enables consistent evaluation over time from day one.

Treatment Response Tracking
How do you know if your lung cancer treatment plan is working? Quickly and easily view the entire response in one glance with our TIMELINE nodule tracking feature. TIMELINE detects and quantifies lung nodule changes over time for precise and sensitive treatment response assessment. Intuitive color graphs indicate the time-to-double or halve for every detected nodule.

Disease Pattern Detection
Improve your disease detection rates with our INSIGHTS feature, which quantifies 8 key disease patterns and visualizes them with individual heatmaps. Coming in 2023: quantitative tracking of changes in disease patterns over time.



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


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’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

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

contextflow SEARCH Lung CT is one of the applications that certainly fits radiology’s current needs and can simplify the analysis of complex lung pathology. With the right insights and technology, we can succeed in introducing AI in a very attractive way to radiology departments on a global scale.

Erik Ranschaert

Former President of the European Society of Medical Imaging Informatics (EuSoMII), Radiologist at St. Nikolaus Hospital in Eupen

I have been following contextflow’s progress practically since the company’s founding, and their traction in the area of lung CT is impressive. Being able to shape clinical decision support tools that myself and colleagues can benefit from in clinical practice is a big motivator. We’re literally shaping the future.

Jacob Visser

Chief Medical Information Officer & Head of Imaging IT and Value-Based Imaging at Erasmus MC