How it works

The patient is subjected to a magnetic resonance examination performed in the T2 FLAIR 3D sequence. Then, the images obtained in this way are analyzed by the Sens.AI system, which, using specialized algorithms, performs segmentation and calculates the volume of the largest consistent pathological lesion.

What is important is that the whole process takes place automatically, without the need for user intervention.

Once the cycle is complete, Sens.AI generates a clear and easy to interpret report in the form of DICOM files. The report can be uploaded to a PACS database or saved on a desktop computer.

The operation of Sens.AI is based on algorithms using advanced Machine Learning techniques, especially Deep Learning.

The report contains:

• Segmented LGG or HGG changes
• Calculated volume of the largest homogeneous pathological lesion given in mm3