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Categories: mintLesion

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…
Lung Cancer Screening mintLesion Standardized Reading Procedures Clinical Routine 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
Radiologists participating in a hands-on lung cancer screening workshop using structured reporting software mint Lesion at RÖKO 2026
Interactive hands-on workshop on lung cancer screening according to G-BA guidelines at RÖKO 2026, including structured reporting, double reading workflows, and consensus decision-making
Hands-On Workshop Lung Cancer Screening: From Initial Read to Consenus
From initial read to consensus – structured reporting in practice at RÖKO 2026
Lung Cancer Screening Events mintLesion Structured Reporting
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
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,…
Lung Cancer Screening mintLesion Standardized Reading Procedures Clinical Routine
Postoperative brain tumor MRI comparing TGSE-BLADE and RESOLVE DWI showing distortion reduction near resection site
A recent study published in the European Journal of Radiology compares TGSE-BLADE DWI with RESOLVE DWI in postoperative brain tumor imaging. TGSE-BLADE demonstrated significantly reduced geometric distortion and artifacts caused by intracranial air, enabling more accurate detection of ischemic changes and improving diagnostic confidence in early postoperative MRI.
University Hospital Tübingen: Improving Postoperative Brain Tumor MRI: TGSE-BLADE vs. RESOLVE DWI
Early MRI scans are critical for patients who have just undergone brain tumor resection to evaluate the surgery's success and plan future treatments.…
Research with mint mintLesion Clinical Research Neuro Therapy Response Assessment
Medical professional reviewing patient's MRI images on computer monitor with patient in MRI machine in background.
TGSE-BLADE demonstrated significantly reduced geometric distortion and artifacts caused by intracranial air, enabling more accurate detection of ischemic changes and improving diagnostic confidence in early postoperative MRI.
Postoperative Brain MRI After Tumor Resection: Reducing Artifacts and Improving Diagnostic Accuracy
Postoperative MRI after brain tumor surgery is often affected by artifacts caused by intracranial air, limiting reliable image interpretation. A…
Research with mint mintLesion Neuro Therapy Response Assessment
PET scans of torso with relevant false positives highlighted by red dotted circles, true positives in green
Representative prediction pitfalls in cases with high DSC
LMU University Hospital: Artificial Intelligence for TNM Staging in NSCLC – How Reliable Are AI-Based Segmentations?
The recent study “Artificial intelligence for TNM staging in NSCLC – a critical appraisal of segmentation utility in [¹⁸F]FDG PET/CT” provides a…
Research with mint mintLesion Clinical Research PET