Experience the AI-Rad Companion Trial Light
The power of AI is just a few clicks away.
With AI-Rad Companion Trial Light* you can easily experience the quality of our algorithms – directly via your browser and without any installation effort.
The AI-Rad Companion, our family of AI-powered, augmented workflow solutions, helps you to reduce the burden of basic repetitive tasks and may increase your diagnostic precision when interpreting medical images.
Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms. The automation of routine workflows with repetitive tasks and high case volumes helps you to ease your daily workflow – so that you can focus on more critical issues.
Up-to-date algorithms and scalable offerings
Our state-of-the-art algorithms will be automatically distributed to you as a user as soon as they are officially released and made available. Once the images are post-processed by the AI-Rad Companion, it supports your interpretation of the data by automatically providing results of its analysis to you for review, confirmation and possible inclusion in the final report or care pathway – to raise your precision and ensure high quality outcome in diagnostic decision-making.
All our AI-Rad Companion extensions are deployed via the teamplay digital health platform. This approach eases regular updates as well as upgrade processes and facilitates the integration of new offerings into the existing IT environment.
The AI-Rad Companion family is growing
AI-Rad Companion may help you to increase precision and speed up your workflow
We developed the AI-Rad Companion to help you cope with a growing workload. With its deep learning algorithms, AI-Rad Companion automatically highlights abnormalities, segments anatomies, and compares results to reference values.
Discover how AI-Rad Companion supports you as a full-time radiology expert
The AI-Rad Companion Chest CT detects and highlights lung nodules. After segmentation of the lung nodules, the volume, maximum 2D diameter, maximum 3D diameter and tumor burden are automatically calculated.
Courtesy of Klinikum Nürnberg, Nuremberg, Germany