A key feature of the solution is the integration of artificial intelligence for the automatic cataloging of images and data, helping operators improve accuracy and reduce manual workload. Additionally, the platform integrates directly with orthodontic tools to automatically acquire images and information, eliminating the need for manual data entry and enhancing interoperability with other clinical devices.

The adoption of the DICOM standard ensures shareable management of medical images, enabling seamless collaboration between professionals and devices across different clinical environments.

IDE: Visual Studio Code

Technologies: Docker, PostgreSQL, Django-Python, Vue.js, Quasar Framework, Modelli di AI, Microservizi, DICOM, PACS