Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches
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Human-AI Collaboration in Prostate Cancer Diagnosis
As prostate cancer diagnosis becomes increasingly complex, the collaboration between human expertise and artificial intelligence (AI) is emerging as a…
Customizable reading templates for therapy response assessment
mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion…
Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker
The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting.
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RACOON-RESCUE is Advancing Pediatric Non-Hodgkin Lymphoma Care
Pediatric Non-Hodgkin Lymphoma (NHL) is the fourth most common tumor in children and adolescents, yet its radiological methods lack standardization,…
Streamline Prostate Cancer Screenings with Prostate.Carcinoma.ai in mint Lesion
The Prostate.Carcinoma.ai plug-in, developed by our partner FUSE-AI, is a powerful addition to mint Lesion, designed specifically to enhance prostate…
Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction
In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR)…
Leverage Advanced AI-Driven Nodule Detection and Analysis for Comprehensive Patient Care
Discover the power of streamlined AI-driven lung screening with contextflow ADVANCE Chest CT integrated into mint Lesion. With automated lung nodule…
Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer
In a retrospective study conducted at the University Hospital Cologne, the radiological criteria iRECIST and RECIST 1.1 were compared for assessing…
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