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Potential of longitudinal data from single site and multi-center clinical trials for AI-research

Prof. Dr. Hans-Christoph Becker from Stanford University, a long-standing user of mint Lesion™, shares his experience of using the software in this brief interview. He talks about the reaction he received when sharing the mint report for the first time, how patients benefit from the longitudinal overview of disease, and his plans to use the structured data for AI research.

Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting. 

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RACOON-RESCUE is Advancing Pediatric Non-Hodgkin Lymphoma Care

Pediatric Non-Hodgkin Lymphoma (NHL) is the fourth most common tumor in children and adolescents, yet its radiological methods lack standardization,…

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Radiologist creating a structured report with mint Lesion software
Structured reporting is redefining radiology by standardizing documentation, enhancing clarity, and generating data ready for clinical use and AI applications. With mint Lesion, radiologists can work efficiently while producing high-quality, interoperable data that support diagnostics, research, and patient outcomes.
Structured Reporting in Radiology: Precision, Clarity, and Data Quality

Radiology reports are often the key to a diagnosis – and the way they are created and communicated makes a crucial difference.
Traditional free-text…

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