jump to content jump to footer

Potential of using structured data from clinical trials and routine for AI and radiomics research

Dr. Nils Grosse Hokamp shares his experience of using mint Lesion™ at the University Hospital Cologne in this brief interview. He talks about how they have expanded their usage of mint Lesion™ over the years, how it has changed their clinical studies, and his view on the potential of structured data for research.

Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction

In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR)…

Read more
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…

Read more
Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer

In a retrospective study conducted at the University Hospital Cologne, the radiological criteria iRECIST and RECIST 1.1 were compared for assessing…

Read more
scroll-top