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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.

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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Interview with Prof. Timm Denecke about the RACOON-MARDER project and AI-powered early detection of liver cancer using MRI
An in-depth interview with Prof. Timm Denecke about the RACOON-MARDER project
Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner
Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By…
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mint Lesion's Research Suite: advanced imaging research platform designed to support
The mint Lesion Research Suite is an advanced imaging research platform that enables teams to efficiently design, configure, and run imaging studies.
mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies
mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…
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