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Categories: MRI

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
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…
mintLesion Clinical Trials Clinical Routine MRI Bone Lesions AI
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…
mintLesion Clinical Routine MRI AI
Portrait of Univ.-Prof. Dr. Thorsten Persigehl, expert in oncologic imaging at University Hospital Cologne
“Structured reporting and AI are transforming prostate diagnostics—enhancing precision and efficiency.”
Structured Reporting and Artificial Intelligence in Prostate Diagnostics: An Interview with Prof. Dr. Thorsten Persigehl
What does radiology look like when structured reporting meets artificial intelligence? A look into the daily practice of Prof. Dr. Thorsten Persigehl…
Success Story Interview mintLesion Clinical Routine MRI Prostate Urology Interdisciplinary Communication Testimonial AI Structured Reporting