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Categories: Success Story

Prof. Dr. Timm Denecke discusses AI-based early detection of liver cancer at RÖKO 2026
AI and MRI data may soon predict liver cancer risk before tumors form. Prof. Denecke explains the RACOON-MARDER project.
Predicting hepatocellular carcinoma (HCC) before it develops: Artificial Intelligence meets MRI
At RÖKO 2026, we spoke with Prof. Dr. Timm Denecke, Director of Radiology at Leipzig University Hospital, about RACOON-MARDER, a research project…
Success Story Clinical Routine MRI HCC RACOON AI
Portrait of Professor Christina Messiou, Consultant Radiologist at The Royal Marsden NHS Foundation Trust
Professor Christina Messiou, Consultant Radiologist at The Royal Marsden NHS Foundation Trust and Professor at the Institute of Cancer Research, discusses AI-powered whole-body MRI for multiple myeloma
AI-Powered Whole-Body MRI for Multiple Myeloma: Interview with Prof. Christina Messiou
Multiple myeloma poses a unique challenge for radiologists: the disease often affects the bone marrow unevenly, and conventional biopsies can only…
Success Story mintLesion Clinical Routine MRI Bone Lesions AI
Portrait of Prof. Dr. Timm Denecke, Director of Radiology at Leipzig University Hospital, RÖKO 2026
The full RACOON-MARDER interview: how AI-driven analysis of MRI data could flag liver cancer risk before diagnosis.
RACOON-MARDER: AI Research for the Early Detection of Hepatocellular Carcinoma – Interview with Prof. Dr. Timm Denecke
Hepatocellular carcinoma (HCC, liver cancer) is one of the most common malignant tumors worldwide. Early detection and precise assessment of disease…
RACOON Interview Success Story Interview Multi-center Research MRI HCC AI
Integrated prostate cancer workflow connecting radiology, urology, and pathology through structured reporting, MRI-guided biopsy, longitudinal follow-up, and AI-supported analysis.
mint Lesion supports an end-to-end prostate cancer workflow by connecting radiology, urology, and pathology within a unified digital environment. The platform enables structured mpMRI reporting, MRI/ultrasound fusion biopsy workflows, FHIR-based interoperability, active surveillance, and AI-supported quantification of metastatic disease.
Be Central to the Insight: A Structured, Data-Driven Approach Across the Prostate Pathway
Digital Integration for Multidisciplinary Teams  In the complex journey of prostate cancer diagnostics, the data contributed by every department is…
Success Story mintLesion Standardized Reading Procedures Clinical Routine Prostate Structured Reporting PI-RADS
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…
Success Story mintLesion Clinical Trials Standardized Reading Procedures Data Analysis Therapy Response Assessment Structured Reporting
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, which aims to predict hepatocellular carcinoma risk using MRI, AI, and clinical data.
“Making the Invisible Visible”: How RACOON-MARDER Aims to Improve Early Detection of Liver Cancer Using MRI and AI
Hepatocellular carcinoma (HCC) is a potentially deadly tumor. The decisive factor is the timing of diagnosis: if HCC is detected early, there is a…
RACOON Interview Success Story Interview Multi-center Research HCC RACOON AI