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…
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…
Unlocking the Power of AI: The Vital Role of Structured Reporting
We all know the phrase “a picture is worth a thousand words”; yet, in specific fields, one thousand words are simply too many and can potentially…
Challenges and Opportunities of Setting Up a Comprehensive Oncological Imaging Database
In an exclusive interview with Prof. Dr. Thorsten Persigehl, a leading expert in Oncological Imaging, we delved into the transformative radCIO project…
Interview with Prof. Thorsten Persigehl on the radCIO in Cologne
Structured data in radiology is crucial for accurate diagnoses and treatment planning and serves as the basis for detailed clinical practice and…
AI in Radiology: Bridging the Gap Between Integration Challenges and Untapped Potential
The influence of artificial intelligence (AI) on the field of radiology has substantially increased in the last years. Today, AI can be applied to…
Fighting prostate cancer with AI and automatic segmentation
Advances in technology, especially in the field of AI, can significantly relieve the ever-increasing workload of radiologists today. We are…
Potential of using structured data from clinical trials and routine for AI and radiomics research
Recording of RSNA 2019 AI theater presentation | Power food for AI
At this year’s RSNA, Mint Medical presented its AI approach to the audience at the AI theater. Tobias Gottmann and Aditya Jayaram highlighted how…
About Cookies
This website uses cookies. Those have two functions: On the one hand they are providing basic functionality for this website. On the other hand they allow us to improve our content for you by saving and analyzing anonymized user data. You can redraw your consent to using these cookies at any time. Find more information regarding cookies on our Data Protection Declaration and regarding us on the Imprint.
