Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

Image of a Uterus

RACOON FADEN Project Tackles Early Detection of Adenomyosis

Endometriosis is a vastly under-researched condition affecting women, but it is finally receiving the attention it deserves through the RACOON FADEN project.

In an insightful interview, Prof. Dr. Sylvia Mechsner (Charité Berlin) and Prof. Dr. Matthias May (University Hospital Erlangen) discuss the RACOON FADEN project, which focuses on the early detection of adenomyosis, a form of endometriosis.

This project addresses a critical gap in the diagnosis and treatment of women with severe menstrual pain. The study uses MRI scans to detect early signs of adenomyosis and gain a deeper understanding of the morphology of a healthy uterus. Additionally, the interview highlights the innovative use of structured reporting and the existing RACOON infrastructure to enhance diagnostic precision and accelerate research.

Read the full interview here.

Related Resources

Related Resources

Screenshot of a prostate lesion in mint Lesion

Streamline Prostate Cancer Screenings with Prostate.Carcinoma.ai in mint Lesion

The Prostate.Carcinoma.ai plug-in, developed by our partner FUSE-AI, is a powerful addition to mint Lesion, designed specifically to enhance prostate…

Image of a female doctor holding a hologram of a lung

Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction

In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR)…

Screenshot of structured reading template for NSCLC Staging

Software-Assisted Structured Reporting Improves TNM Classification Accuracy in NSCLC Staging

In this multi-center collaboration, thoracic radiology experts developed and evaluated a software-assisted structured reporting (SR) framework for…