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. contextflow TRIAGE integrates directly into your RIS/PACS.
Red dots indicate patients with known disease patterns.
Orange dots require review from a radiologist to determine if disease patterns are present.
Green dots indicate patients without the presence of known disease patterns.
Investigational – Not Available for Commercial Use
Put the flow back in your work – spend less time researching difficult cases
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.
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.
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.
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