AI In Radiology
Close to our heart is our concern for patient safety through rapid and uncompromisingly describing and performing examinations. Our goal is to guarantee instant and precise tools that allow doctors to focus on their work. The products we offer have been developed successively since 1992 by a team of 150 people.

In India, the growing aging population has led to a significant increase in neurodegenerative diseases, which have a profound impact on the quality of life. Millions of individuals over the age of 60 are affected by conditions such as Alzheimer’s, Parkinson’s, and other forms of dementia. To address this challenge, an innovative solution has been proposed that leverages advanced artificial intelligence models. This solution analyzes the patient’s brain by dividing it into more than 30 distinct areas, identifying focal lesions, and assessing their volume and severity.
- Segmentation of Neoplastic Lesions
- Segmentation of Hematomas

The integrated information system collects data from lung CT scans, analyses it with Al, pinpointing the sites of potential focal lesions and tumours. Then, based on the CT examination performed and the results of the Al analysis, the doctor may prescribe another test, which is bronchoscopy, in order to collect suspicious lung fragments.
- CT – Segmentation Of Pleural Fluid
- CT – Segmentation Of Proliferative Lesions (Nodules And Tumours)
- CT – Segmentation Of Pulmonary Embolism
- X-Ray – Atelectasis Detection
- X-Ray – Detection Of Edemas

The integrated system processes the information in a cycle. The mammography test performed is analysed by an artificial intelligence system, whose task is to identify potential sites of cancerous lesions by outlining them. The radiologist doctor, has the ability to evaluate the actions of the of the artificial intelligence and, being supported by it, accepts or rejects the proposed pathology findings.
In the next step, the data are transmitted to the physician who is to perform the supervised biopsy under ultrasound.