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 Jena: Study evaluated response rate and safety in patients with HCC treated with DEB-TACE using 40-µm microspheres

Researchers at the University Hospital Jena analyzed the response rate and safety of superselective drug-eluting beads transarterial chemoembolization…

University Hospital Tübingen: Study examined correlation between 18f-fdg PET and CT texture parameters in metastatic melanoma patients

An exploratory study [1] conducted by researchers at University Hospital Tuebingen investigated whether CT texture analysis parameters correlate with…

mint Analytics: Real-time data visualization and analysis in clinical trials with imaging endpoints

We talked to PD Dr. Wolfgang G. Kunz, Head of Oncological Imaging and of the Oncological Study Center at the Ludwig Maximilians University Hospital…