Today we feature Contextflow in our Meet the Pilot series!
Working alongside University Hospital Leuven (UZ Leuven), one of Europe’s leading medical centres, the pilot is deploying Contextflow’s ADVANCE Chest CT platform to elevate thoracic radiology assessments. By integrating deep learning models into clinical workflows, this AI-powered solution automates the detection, quantification, and tracking of lung nodules and complex tissue patterns. The collaboration tackles high diagnostic volumes to accelerate the detection of lung cancer, interstitial lung disease, and COPD, ensuring faster, more precise care for patients.
Read the full interview below to discover how they are advancing AI-driven radiology and what lies ahead for their rollout.
Get a look at their technology in our latest brochure, available below. Discover exactly how this solution works, who it is designed for, and how you can get in touch if you would like to connect!
What are your expectations as your solution moves into the assessment phase? And your lessons learned?
As we move into the assessment phase, we expect to validate our solution’s functionalities on the hospital dataset that reflects their need. Also, having learned that continuous adaptability and open communication are the true cornerstones of successful software integration.
How has InnoMatch helped you achieve your business goals? What have you valued the most so far?
Not yet, we need to wait for the end of the project and validation at the hospital. But it has given us a valuable opportunity to do so.
What does success look like for you beyond this pilot and the InnoMatch programme?
Beyond this pilot, success means evolving this project into a long-term, scalable commercial partnership that continuously drives clinical and operational value across Belgium.
Learn more about the Contextflow pilot here.