PARROT, which stands for Platform for ARtificial intelligence guided Radiation Oncology Treatment, is a user-friendly, free, and open-source web platform. It allows users to visualize DICOM files, run AI models, display and evaluate predictions easily. The platform includes several trained state-of-the-art dose prediction and contour segmentation models. Users can also add their own models using the embedded code editor.
The app consists of a frontend built in React JavaScript, including the graphical interface with a DICOM viewer, a selection panel of AI models, an editor of contours predictions, and evaluation tools. The backend is built with Flask to handle the predictions of AI models.
Run state-of-the-art AI models
Visualize contours segmented with AI on CT and MR images
Compare uploaded and/or predicted dose distributions
Correct contours predicted by AI model
Full DICOM to DICOM workflow
Local web application to ensure patient data privacy
Run your own AI models
Clinical evaluation tools: NTCP, DVH curves, clinical objectives, dose statistics