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

Access breakthrough research, innovative case studies and collaborative projects advancing radiology worldwide. Dive into our activities and product updates, and learn who we are as a company and as a team.

Research poster presentation on standardized tumor response assessments using mint Lesion at the NCCN Annual Conference 2026
Presentation of a research poster by Memorial Sloan Kettering Cancer Center on the use of mint Lesion for structured tumor response assessments and clinical research workflows.
NCCN 2026: Memorial Sloan Kettering Cancer Center Presents Research on Structured Tumor Response Assessments with mint Lesion
Big congratulations to Steven Philemond and Alison Chiaramonte of Memorial Sloan Kettering Cancer Center for presenting their research poster “Use of…
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Assessment of pediatric brain tumors using mint Lesion to support structured imaging and research workflows
How mint Lesion supports pediatric brain tumor research through structured imaging data, standardized evaluations, and reproducible reporting.
Supporting Pediatric Brain Tumor Research with Structured Imaging Data
Brain tumors account for more than 15% of childhood cancers and are the second most common childhood cancer [1]. Despite significant advances in…
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RÖKO 2026 recap from the radiology congress in Leipzig
Video recap of RÖKO 2026 featuring lung cancer screening, AI-supported radiology workflows, structured reporting and highlights from Rad to RÖKO.
RÖKO 2026 – A Look Back at Innovation, Collaboration and Lung Cancer Screening
The 107th German radiology congress (RÖKO) in Leipzig brought together inspiring conversations, new ideas around AI and structured reporting, and…
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Radiologist using mint Lesion for structured reporting and AI-supported workflows in lung cancer screening
How radiology practices can participate in lung cancer screening in Germany with mint Lesion through structured reporting, AI-supported workflows, and integrated collaboration with second-reading centers.
How Radiology Practices Can Participate in Germany’s Lung Cancer Screening Program with mint Lesion
New opportunities - but also economic uncertainty With the launch of lung cancer screening (LCS) in Germany, radiology practices are facing a new…
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Hospital staff using mint Lesion for interoperable workflows and data management in lung cancer screening
How mint Lesion supports hospitals and screening centers with interoperable infrastructure, AI integration, data management, and scalable workflows for lung cancer screening.
Lung Cancer Screening in Germany: How mint Lesion Supports Hospitals with Infrastructure, Integration, and Scalability
Screening as a Strategic Challenge With the launch of the national lung cancer screening program in 2026, hospitals and screening centers across…
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Radiologist analyzing whole-body MRI scans of prostate cancer bone metastases using AI-assisted tumor load quantification in mint Lesion
How mint Lesion supports radiologists in AI-assisted tumor load quantification for bone metastases in prostate cancer with structured analysis, objective metrics, and longitudinal therapy assessment.
AI-Supported Tumor Load Quantification for Bone Metastasis in Prostate Cancer
To assess treatment response in patients with advanced prostate cancer, radiologists rely on advanced medical imaging. Conventional modalities, such…
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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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