The Bavarian Oncological Radiology Network – Standardized Imaging for Improved Cancer Care: Interview with Dr. Mandy Wahlbuhl-Becker
The Bavarian Oncological Radiology Network (BORN) aims to support patients and medical professionals across Bavaria by standardizing imaging procedures and systematically evaluating cancer…
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, leaving room for significant improvement. The…
University Hospital Tübingen: Neuro-Oncological Imaging with Deep Learning Reconstruction (DLR)
A recent study conducted by the University Hospital of Tübingen investigated the potential of deep learning reconstruction (DLR) in magnetic resonance imaging (MRI) for IDH-mutant gliomas compared…
Project RACOON-RESCUE: Advancing Diagnosis and Treatment for Pediatric Non-Hodgkin Lymphoma
Pediatric Non-Hodgkin Lymphoma (NHL), a type of lymph node cancer, is the fourth most common tumor in children and adolescents. Radiological examinations, alongside invasive diagnostics like…
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 cancer screenings. This advanced solution…
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) framework for non-small cell lung cancer (NSCLC)…
Software-Assisted Structured Reporting Improves TNM Classification Accuracy in NSCLC Staging
In this multi-center collaboration, thoracic radiology experts developed and evaluated a software-assisted structured reporting (SR) framework for staging non-small cell lung cancer (NSCLC). The…
