Categories: AI

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.  …

BORN Interoperability Structured Reporting Clinical Routine Standardized Reading Procedures AI Interview mintLesion
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,…

RACOON Pediatric cancer Structured Reporting Clinical Research AI Interview mintLesion

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…

RACOON Pediatric cancer Personalized Therapy Clinical Research AI Interview Success Story mintLesion
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…

Urology Prostate PI-RADS AI mintLesion
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…

News-EN-only Interoperability Structured Reporting Standardized Reading Procedures Diagnostic Data Management Data Collection Data Analysis Volumetric Measurements RADS AI
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 Interoperability Personalized Therapy MRI Structured Reporting Clinical Research Standardized Reading Procedures AI Interview Success Story

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…

RACOON Interoperability Personalized Therapy MRI Structured Reporting Clinical Research Standardized Reading Procedures Data Collection AI Success Story mintLesion
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…

RACOON Data Visualization Clinical Research AI Covid 19
Schematic visualization of the federated learning study and its data infrastructure

RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research

Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…

Data Collection AI Research with mint