Categories: Data Collection

Image of a patient getting an MRI scan, signifying how RACOON projects in Germany show how imaging, structured reporting, and AI jointly advance clinical research.

RACOON – Imaging, Data & Collaboration for Better Decisions

Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…

RACOON Structured Reporting Clinical Research Interdisciplinary Communication Data Collection Data Analysis mintLesion
mint Lesion's Research Suite: advanced imaging research platform designed to support

mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies

mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…

RACOON Clinical Research Standardized Reading Procedures Interdisciplinary Communication Data Collection Data Analysis Multi-center Research
Radiologist using structured reporting in mint Lesion

Leave No Data Behind: Commitment to Data Excellence

At Mint Medical, we understand data as a cornerstone for improving patient care and groundbreaking research. Our mission is clear: Leave No Data…

Data Visualization Structured Reporting Data Collection Data Analysis mintLesion
mint Lesion screenshot with PET evaluation, SUV, customized response criteria

Customizable reading templates for therapy response assessment

mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion…

Clinical Research Standardized Reading Procedures Diagnostic Data Management Data Collection Data Analysis Volumetric Measurements
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

RACOON FADEN: Pioneering Early Detection of Adenomyosis

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

A Closer Look at the BZKF BORN-Project: Interview with Dr. Maurice Heimer from the Clinic and Polyclinic for Radiology at the LMU Klinikum

The Bavaria-wide Oncological Radiology Network (BORN) is now in its second funding phase and is making rapid progress. The project was initiated in…

BORN Interoperability Data Visualization Structured Reporting Clinical Routine Data Collection Interview
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