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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. 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.

Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.
The two-day “RECIST and Beyond” workshop at radCIO Cologne offered intensive hands-on training on RECIST, iRECIST, mRECIST and LI-RADS, with real-case reporting performed directly in mint Lesion.
Successful “RECIST and Beyond” Workshop in Cologne: Advancing Precision in Oncologic Imaging

How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?

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Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.
mint Lesion fully supports RANO 2.0 implementation with configurable parameters, automated tumor burden calculations, and structured workflows for neuro-oncology clinical trials.
Implementing RANO 2.0 for Neuro-Oncology Clinical Trials in mint Lesion

Tumor response assessment in neuro-oncology clinical trials requires careful attention to measurement protocols and confirmation scan requirements. To…

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Image of a patient getting an MRI scan, signifying how RACOON projects in Germany show how imaging, structured reporting, and AI jointly advance clinical research.
Overview of major RACOON projects in radiology and clinical research.
RACOON – Imaging, Data & Collaboration for Better Decisions

Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…

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