The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

Access breakthrough research, innovative case studies and collaborative projects advancing radiology worldwide. Dive into our activities and product updates, and learn who we are as a company and as a team.

Image of doctor looking at a prostate in mint Lesion.

Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics

How are structured reporting and artificial intelligence transforming radiology practice?

Prof. Dr. Thorsten Persigehl from University Hospital Cologne shares how mint Lesion makes prostate diagnostics more efficient, precise, and connected — and why structured data have become indispensable in his daily routine.

 

Read the full interview here.

 

Structured Reporting Clinical Routine Urology Prostate AI Interview Success Story mintLesion

Related Resources

Related Resources

mint Lesion screenshot with HCC diagnosis according to APASL, AASLD, LI-RADS, KLCA-NCC, and EASL guidelines

Multicentric Study: Comparison of Diagnostic Guidelines for Hepatocellular Carcinoma

Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…

Radiologist using for medical image analysis

Advancing Real-World Federated Learning in Radiology

Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…

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…