Startup Showcase: contextflow – AI-Powered Medical Imaging Analysis

Improving radiology reporting with AI-based medical imaging technology

Revolutionizing Medical Imaging

contextflow is at the forefront of AI-based medical imaging technology, offering a new way to search medical images for radiologists. With its powerful image analysis algorithms, the company’s software can detect patterns of interest in medical images such as CT scans of the lungs, and then find visually similar cases, descriptions, and reference information within seconds. This means that radiologists no longer have to spend hours paging through books or guessing the right keyword when searching for relevant information.

By using deep learning to analyze medical images, contextflow has created a new way for radiologists to work more efficiently and accurately. The company’s software can also be configured to prioritize cases where patterns of interest are detected, enabling radiologists to make faster, more informed decisions about patient care.

contextflow is your comprehensive solution for all things chest CT

Our computer-aided detection system ADVANCE Chest CT offers lung nodule detection & tracking of changes over time, quantitative and qualitative analysis of 8 key image patterns, and 3D image search for 19 image patterns. By integrating new technology from partner RevealDx, nodules can be further characterized, detecting lung cancer earlier and reducing costs (JACR 9/22). contextflow ADVANCE Chest CT includes a TIMELINE feature that even quantifies and visualizes nodules over time, allowing physicians to follow treatment progress easily and efficiently. Fully integrated into the radiologist’s workflow, our preliminary research shows average reading time is 31% shorter when contextflow SEARCH is available for use (European Radiology July 2022). Coming soon in 2023: incidental pulmonary embolism.

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History

contextflow is a spin-off of the Medical University of Vienna (MUW) and European research project KHRESMOI, supported by the Technical University of Vienna (TU). Founded in 2016, we have grown to a team of 40+ diverse individuals from 20 countries. We received the BCS Search Industry Most Promising Startup Award 2016, the 2017 Digital Innovation Award by the Austrian Ministry of Education, Science & Research, and were selected as one of 19 startups out of 700+ applications for the 2018 Philips HealthWorks accelerator. The Central European Startup Awards awarded us Best Healthcare Startup 2019 – Austria, Forbes DACH included us in their AI30 list in 2020, and in 2021, the Vienna Chamber of Commerce (WKO) named us a Born Global Champion.

Conclusion

contextflow is a prime example of how AI-powered technology can be used to improve medical imaging and ultimately patient care. With its innovative 3D image-based search engine, the company is helping radiologists work more efficiently and accurately, providing them with the tools they need to make faster, more informed decisions. As contextflow expands internationally, its technology is set to transform the field of radiology and revolutionize the way healthcare is delivered.

Website: http://contextflow.com/

Twitter: https://twitter.com/contextflow_rad

LinkedIn: https://www.linkedin.com/company/contextflow/


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