mint Analytics: Real-time data visualization and analysis in clinical trials with imaging endpoints

We talked to PD Dr. Wolfgang G. Kunz, Head of Oncological Imaging and of the Oncological Study Center at the Ludwig Maximilians University Hospital Munich, about his experience with mint Analytics, an extensive add-on of the leading radiological platform mint Lesion™.

Next to the data visualization of multiple trials, PD Dr. Kunz and his team use mint Analytics for quality control of trial site reads and for sharing the current status of trial results with oncological PIs, which provides them with an estimate of what responses can be clinically expected. PD Dr. Kunz also provides an insight into how mint Analytics has the ability to open up new avenues of single and multicentric research projects and how this can benefit other radiologists, oncologists, imaging CROs as well as sponsors.

Data Visualization Clinical Trials Trial Monitoring Data Collection Data Analysis Clinical Trial Center mint Analytics Video

Related Resources

Related Resources

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…

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…

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…