Radiology Image Search powered by Deep Learning

Facing increasing workloads, radiologists must choose between longer working hours or decreased time spent evaluating images. About 20% of cases require additional research from many sources, requiring up to 20 minutes with a questionable rate of success.

contextflow’s image search engine uses deep learning to put the knowledge encoded in millions of medical images and reports at your fingertips, saving radiologists time and money. Simply mark a region of interest in an image, and our search engine instantly returns reference cases and associated knowledge. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. Case relevant information is now only a few clicks away!

contextflow’s patent-pending 3D image-based information search solution can be extended to additional pathologies and organs. We enable clinics to share information across institutional borders and benefit from a collaborative growing knowledge base, generating clinical value from existing data.   

Solutions

doctor examining brain scan

For Radiologists

Simply select a region in the image, and, within an instant, you get relevant reference cases and information about associated differential diagnosis to support your decisions. Instead of spending time on frustrating search through multiple web sources, books and literature to find the information you need. Sign up below for more information!

Wall of side by side body medical scan results

For Technology Partners

Unlocking the potential of large medical image data The contextflow search system is a next-generation visual search technology based on deep learning that improves reporting speed and diagnostic quality. Through the integration of our technology, the information collected from millions of images and reports is placed at the fingertips of the radiologists as part of […]

News

Where to find us at RSNA 2018: Booth 7367N

PDF version here: contextflow_rsna_2018

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contextflow selected for Philips Healthworks AI in Radiology Accelerator

We are thrilled to announce we are one of only 19 startups out of 750 applicants chosen to participate in this highly-selective program with one of the world’s leading authorities in health innovation! More to come!

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ÖRG 2018

ÖRG is just one week away! Co-Founder Georg Lang will take the stage to discuss Artificial Intelligence and Machine Learning – Chancen für die Zukunft on Friday, October 5th at 16:25. Hope to see you there!

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Awards

Rudolf Sallinger
Fond Science & Business Award 2016

Most Innovative Digital Solution Austria 2017

Search Industry Awards Most Promising Startup

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