How it works
Artificial Intelligence
Image classification and testing is performed with high specificity and precision
Fast response time
The analysis takes only 3 minutes, as it is performed on our HPE Memory Driven Computing server
Large database for clinical studies
Radiolytx represents one of the largest currently available databases for the study of advanced clinical images.
Extendable
Radiolytx is currently focusing on lung cancer, prostate cancer and Alzheimer's Disease. However, the AI based on Neural Networks can be trained for the classification of other cancer types, provided a sufficient training sample is available.
Simple use case

1.
The user uploads the image (PET, CT, MRI) in DICOM format.
2.
Region Of Interest selection tools are available for a proper segmentation.
3.
Biomarkers are extracted for clinical applications and follow up
4.
Within few minutes images are compared with the ones already available in the RADIOLYTX database
5.
Identify the staging of the cancers, the probability of methastasis or the early diagnosis of Alzheimer's Disease

RADIOLYTX is a new clinical tool
Our software includes all the features of the common frameworks used nowadays by specialists clinicians dealing with medical images, allowing a visualization of the patients in a user-friendly environment. It naturally adds the radiomics analysis to the platform, visualizing these features which are not identifiable with the doctor’s eye. The radiomics parameters are extended with blood biomarkers and digital health records in a unique digital ID, the Radyolitx Patient ID.
CLINICAL EXPERIENCE
Bring radiomics at reach of the clinicians
Personalized diagnosis
For each patient a personalized diagnostic path
A new market
Radiomics for new digital imaging biomarkers
Creative Solution
Artificial Intelligence modeling for early diagnosis
Easy to Use Radiomics platform

A new more complex test case of Radyolitx:
Parkinson Risk Assestment


