jump to content jump to footer

Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting. 

In collaboration with the six Bavarian university hospitals, the project is creating a unified research environment to improve the collection and evaluation of cancer screenings. 

In this interview, Dr. Mandy Wahlbuhl-Becker, Managing Director of BZKF, discusses the background and objectives of the project, as well as the role of partners like Mint Medical in its implementation.

Read the full interview here.

Interview mintLesion Standardized Reading Procedures Clinical Routine Interoperability BORN AI Structured Reporting

Related Resources

Medical professional reviewing patient's MRI images on computer monitor with patient in MRI machine in background.
TGSE-BLADE demonstrated significantly reduced geometric distortion and artifacts caused by intracranial air, enabling more accurate detection of ischemic changes and improving diagnostic confidence in early postoperative MRI.
Postoperative Brain MRI After Tumor Resection: Reducing Artifacts and Improving Diagnostic Accuracy
Postoperative MRI after brain tumor surgery is often affected by artifacts caused by intracranial air, limiting reliable image interpretation. A…
Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.
The two-day “RECIST and Beyond” workshop at radCIO Cologne offered intensive hands-on training on RECIST, iRECIST, mRECIST and LI-RADS, with real-case reporting performed directly in mint Lesion.
Successful “RECIST and Beyond” Workshop in Cologne: Advancing Precision in Oncologic Imaging
How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?
Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.
mint Lesion fully supports RANO 2.0 implementation with configurable parameters, automated tumor burden calculations, and structured workflows for neuro-oncology clinical trials.
Implementing RANO 2.0 for Neuro-Oncology Clinical Trials in mint Lesion
Tumor response assessment in neuro-oncology clinical trials requires careful attention to measurement protocols and confirmation scan requirements. To…