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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.

mint Lesion: lesion categorization under the radiologic recurrence criteria for adjuvant trials
Radiologic recurrence criteria for adjuvant clinical trials in bladder cancer
Radiologic Recurrence Criteria for Adjuvant Clinical Trials in Bladder Cancer
After radical surgery, there is no measurable disease left to follow. A consensus framework defines when a finding on a surveillance scan counts as…
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Radiologist reviewing a glioma MRI case in mint Lesion, with AI-based brain tumor segmentation from Snke (in development)
Consistent Glioma MRI Reporting with mint Lesion
In neuro-oncology, imaging assessments directly shape treatment decisions. For example, under RANO 2.0, whether a follow-up MRI is classified as…
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Portrait of Ralf Heyder, head of the NUM Coordination Office at Charité, interviewed at the RACOON Research Days in Tübingen
Ralf Heyder, head of the NUM Coordination Office at Charité, interviewed at the RACOON Research Days in Tübingen
RACOON in the Network University Medicine – Ralf Heyder on collaborative imaging research
How Germany’s university hospitals built a shared platform for radiological imaging data, and what comes next In early October 2026, representatives…
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