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

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James, please!

Intelligent, context driven assistance systems guide users in a standardized way through the reading process and generate all relevant information on patient and disease. The result: radiologists take more and more center stage within the treatment decision-making process and they provide complete, uniform, and structured reports. Read more.

 

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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…

Alt text (EN) This picture shows several doctors looking at a medical image within the program mint Lesion™

On-Site BZKF BORN Roll-Out Trainings Keep on Going

Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings. As mentioned…