Categories: AI

Doctor looking at screen that shows medical data

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…

Interdisciplinarity in healthcare

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.  …

Two female medical researchers looking at computer screen

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,…

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…

Screenshot of a prostate lesion in mint Lesion

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…

AI lung nodules detection in contextflow and Lung-RADS in mint Lesion

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…

Image of a Uterus

RACOON FADEN Project Tackles Early Detection of Adenomyosis

Endometriosis is a vastly under-researched condition affecting women, but it is finally receiving the attention it deserves through the RACOON FADEN…

RACOON FADEN: Pioneering Early Detection of Adenomyosis – Insights from Prof. Mechsner (Charité Berlin) and Prof. May (University Hospital Erlangen)

Adenomyosis is a gynecological condition of the uterus and a form of endometriosis. Approximately 10 percent of women of reproductive age are affected…

Radiologist using for medical image analysis

Advancing Real-World Federated Learning in Radiology

Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…