LMU University Hospital Munich: Real-time Data Visualization and Analysis in Clinical Ttrials with Imaging Endpoints

“mint Analytics expands your means of structured response assessment in mint Lesion™ by instantaneous visualization of the collected data, as a whole or per individual trial,” states PD Dr. Wolfgang Kunz, Head of Oncological Imaging and of the Oncological Study Center at the Ludwig-Maximilians-University Hospital Munich.

PD Dr. Kunz recounts how he and his team are able to keep a detailed overview of the status of their clinical trials and describes how sponsors and imaging CROs can benefit from mint Lesion™ and its add-on mint Analytics.

Read the Success Story here.

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…

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…

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…