Categories: AI

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
Female doctor using technological device. Background shows dots and lines to represent connected data.

Unlocking the Power of AI: The Vital Role of Structured Reporting

We all know the phrase “a picture is worth a thousand words”; yet, in specific fields, one thousand words are simply too many and can potentially…

Structured Reporting Clinical Routine Data Collection Data Analysis AI
A picture of Prof. Dr. Thorsten Persigehl next to a quote on the importance of mint Lesion™ for radCIO

Challenges and Opportunities of Setting Up a Comprehensive Oncological Imaging Database

In an exclusive interview with Prof. Dr. Thorsten Persigehl, a leading expert in Oncological Imaging, we delved into the transformative radCIO project…

Interoperability Data Visualization Personalized Therapy Structured Reporting Clinical Routine AI

Interview with Prof. Thorsten Persigehl on the radCIO in Cologne

Structured data in radiology is crucial for accurate diagnoses and treatment planning and serves as the basis for detailed clinical practice and…

Interoperability Data Visualization Personalized Therapy Structured Reporting Clinical Routine AI