Interoperability is revolutionizing healthcare by enabling the seamless exchange of patient data across systems. This efficient data flow is critical not only for improving patient care but also for…
GoTo
As prostate cancer diagnosis becomes increasingly complex, the collaboration between human expertise and artificial intelligence (AI) is emerging as a critical factor in improving diagnostic…
GoTo
mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion categories, and evaluate responses. Track key…
GoTo
The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting. In collaboration with the six Bavarian…
GoTo
The Bavarian Oncological Radiology Network (BORN) aims to support patients and medical professionals across Bavaria by standardizing imaging procedures and systematically evaluating cancer…
GoTo
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…
GoTo
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 to…
GoTo
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…
GoTo
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…
GoTo
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)…
GoTo