The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

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Prof. Dr. Wolfgang Kunz

The mint Analytics add-on within mint Lesion™ expands one’s structured response assessment by instantaneous visualization of the collected data, as a whole or per individual trial. An added value for radiologists, oncologists, trial centers and sponsors is dedicated trial monitoring and data analysis. mint Analytics has significant potential to accelerate the scientific use of collected imaging data.

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Update RSNA: Heart and Lung Imaging

01/09 to 01/10/2026 Cologne, Germany

Seminar in Radiological Diagnostics: "RSNA Update – Heart and Lung Imaging"

PET scans of torso with relevant false positives highlighted by red dotted circles, true positives in green

LMU University Hospital: Artificial Intelligence for TNM Staging in NSCLC – How Reliable Are AI-Based Segmentations?

The recent study “Artificial intelligence for TNM staging in NSCLC – a critical appraisal of segmentation utility in [¹⁸F]FDG PET/CT” provides a…

Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.

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?