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Prof. Dr. Timm Denecke discusses AI-based early detection of liver cancer at RÖKO 2026

Predicting liver cancer 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 using artificial intelligence to detect the earliest imaging signs of hepatocellular carcinoma (HCC) in high-risk patients. By training AI on structured MRI data from across Germany's university hospitals, the project aims to identify which patients truly need intensive screening — and catch liver cancer before it becomes cancer. Mint Medical is proud to support this research as a technical network partner.

Read the full interview to find out how AI could reshape liver cancer screening.

Onur Özek from Mint Medical discusses the challenges, requirements, and future of lung cancer screening in Germany in an interview with RadMag.
In the latest RadMag Special Edition, Onur Özek discusses structured reporting, AI integration, second-reader workflows, interoperability, and the importance of end-to-end workflow management for lung cancer.
RadMag Special Edition: Onur Özek on the Challenges of Lung Cancer Screening in Germany
With the nationwide rollout of Germany’s lung cancer screening, radiology providers are facing new challenges. Structured reporting, mandatory second…
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Mint Medical and Coreline teams coming together to announce partnership
Mint Medical and Coreline Soft integrate AVIEW into mint Lesion to support AI-enabled workflows for structured reporting, Lung-RADS assessment, and longitudinal nodule management in lung cancer screening.
Coreline Soft and Mint Medical Announce Partnership to Advance AI-Enabled Lung Cancer Screening
Coreline Soft and Mint Medical today announced a partnership to advance AI-enabled lung cancer screening, following more than six months of technical…
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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 to the End-to-End Prostate Pathway
Digital Integration for Multidisciplinary Teams  In the complex journey of prostate cancer diagnostics, the data contributed by every department is…
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