jump to content jump to footer

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.

Systems on FHIR: Driving Healthcare Innovation Through Interoperability

Interoperability is revolutionizing healthcare by enabling the seamless exchange of patient data across systems. This efficient data flow is critical…

Read more
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…

Read more
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…

Read more
scroll-top