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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.

Radiologists participating in a hands-on lung cancer screening workshop using structured reporting software mint Lesion at RÖKO 2026
Interactive hands-on workshop on lung cancer screening according to G-BA guidelines at RÖKO 2026, including structured reporting, double reading workflows, and consensus decision-making
Hands-On Workshop Lung Cancer Screening: From Initial Read to Consenus
From initial read to consensus – structured reporting in practice at RÖKO 2026
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Radiologist analyzing whole-body MRI scans of multiple myeloma using AI-assisted quantification in mint Lesion
How mint Lesion supports radiologists in AI-assisted quantification of bone involvement in multiple myeloma with structured analysis, objective metrics, and longitudinal disease tracking.
AI-Supported Quantification of Bone Involvement in Multiple Myeloma
Radiologists utilize Whole-Body MRI (WB-MRI) as an established imaging method for multiple myeloma staging [1,3]. Because it avoids ionizing…
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Radiologist using mint Lesion for structured lung cancer screening reporting and AI-assisted lung nodule assessment
How mint Lesion supports radiologists in the German lung cancer screening program through structured reporting, AI-supported workflows, second reading, and longitudinal patient follow-up.
Lung Cancer Screening in Germany: How mint Lesion Supports Radiologists in Clinical Practice
A New Era of Early Detection — and New Challenges With the introduction of the nationwide lung cancer screening program starting in 2026,…
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