Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

AI lung nodules detection in contextflow and Lung-RADS in mint Lesion

Leverage Advanced AI-Driven Nodule Detection and Analysis for Comprehensive Patient Care

Discover the power of streamlined AI-driven lung screening with contextflow ADVANCE Chest CT integrated into mint Lesion. With automated lung nodule detection and segmentation, contextflow highlights findings directly within the mint Lesion platform, where users can seamlessly review, customize or add findings.

mint Lesion supports the Lung-RADS 2022 guidelines, featuring built-in automated scoring to enhance accuracy and consistency in lung nodule evaluation. For high-risk patients, contextflow ADVANCE Chest CT extends its capabilities beyond nodules, assisting in the analysis of COPD and *coming soon* identifying calcifications in coronary vessels, equipping users with deeper insights for comprehensive care.

Explore how the innovative solution is going to be integrated into the cutting-edge deepcOS® AIR® ecosystem. Check out this brief video on Youtube to see it in action.

 

Related Resources

Related Resources

University Hospital Cologne: Study provides guidance values of iodine concentration for body CT examinations

Using data from a large cohort of individuals without radiological tumor burden, researchers from University Hospital Cologne have conducted a study…

Private Practice KölnTriangle: Catapulted into a New Orbit of Reporting

With mint Lesion™, “complex information is condensed so that it is easier to understand. We believe that this way, we can make the complex central…

Mint in 30 Minutes - How to adopt radiomics research, clinical trial management, and cognitive assistance in clinical routine

During this year’s virtual ECR 2020, we provided an insight into data-driven radiology with our Mint in 30 Minutes webcast. Using live software…