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Categories: Clinical Routine

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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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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Radiologist using mint Lesion for structured lung cancer screening reporting and AI-assisted lung nodule assessment
How mint Lesion supports radiologists in the German lung cancer screening program through structured reporting, AI-supported workflows, second reading, and longitudinal patient follow-up.
Lung Cancer Screening in Germany: How mint Lesion Supports Radiologists in Clinical Practice
A New Era of Early Detection — and New Challenges With the introduction of the nationwide lung cancer screening program starting in 2026,…
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Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.
The two-day “RECIST and Beyond” workshop at radCIO Cologne offered intensive hands-on training on RECIST, iRECIST, mRECIST and LI-RADS, with real-case reporting performed directly in mint Lesion.
Successful “RECIST and Beyond” Workshop in Cologne: Advancing Precision in Oncologic Imaging
How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?
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mint Lesion's Research Suite: advanced imaging research platform designed to support
The mint Lesion Research Suite is an advanced imaging research platform that enables teams to efficiently design, configure, and run imaging studies.
mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies
mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…
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Image of doctor looking at a prostate in mint Lesion.
Prof. Dr. Thorsten Persigehl from University Hospital Cologne discusses the use of structured reporting and AI in prostate diagnostics with mint Lesion.
Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics
How are structured reporting and artificial intelligence transforming radiology practice? Prof. Dr. Thorsten Persigehl from University Hospital…
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