Potential of using structured data from clinical trials and routine for AI and radiomics research

Dr. Nils Grosse Hokamp shares his experience of using mint Lesion™ at the University Hospital Cologne in this brief interview. He talks about how they have expanded their usage of mint Lesion™ over the years, how it has changed their clinical studies, and his view on the potential of structured data for research.

Click here or on the image above to watch the full video on YouTube.

Related Resources

Related Resources

Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning

This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…

Picture of Dr. Maurice Heimer, radiology resident

Insights into the BORN Project: Development and Successes with Dr. Maurice Heimer

The BORN-project of the Bavarian Center for Cancer Research (BZKF) is making swift progress in its second funding phase. A key aspect of the project…