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Categories: AI

Representatives of Mint Medical and Curagita shaking hands to mark their lung cancer screening partnership
Curagita and Mint Medical are building a quality- and data-secure infrastructure for the new lung cancer screening program together with 25 outpatient radiology screening sites and two second-read centers. Curagita's CuraHub and Mint Medical's mint Lesion software provide the technical foundation for structured reporting, second reads, and the integration of AI solutions such as contextflow's ADVANCE Chest CT.
Lung cancer screening: cooperation for efficient processes and digital networking
Heidelberg, September 15, 2026 – In close collaboration with two second-reader centers in Heidelberg and 25 outpatient radiology screening providers,…
Lung Cancer Screening German News Press Release mintLesion Standardized Reading Procedures Clinical Routine AI Structured Reporting
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 reviewing whole-body MRI images with AI-supported tumor burden quantification for bone metastases and multiple myeloma using mint Lesion.
Mint Medical has integrated an AI algorithm developed by The Institute of Cancer Research and The Royal Marsden into mint Lesion. The solution supports bone disease assessment and treatment response evaluation in advanced prostate cancer and multiple myeloma.
The ICR and The Royal Marsden work with Mint Medical to integrate AI-powered software into cancer treatment
The Institute of Cancer Research (ICR), London, and The Royal Marsden NHS Foundation Trust have announced a new licensing agreement with MedTech…
Clinical Research Clinical Routine Bone Lesions AI
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…
Lung Cancer Screening German News Interview mintLesion Standardized Reading Procedures Clinical Routine AI Structured Reporting
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…
Lung Cancer Screening Press Release Standardized Reading Procedures Clinical Routine AI
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…
Lung Cancer Screening mintLesion Standardized Reading Procedures Clinical Routine AI