LivSpace is an integrated software suite that leverages AI-based anatomical reconstruction and computational modeling to enable patient-specific cardiovascular analysis and simulation
VENUS Sizing is specifically designed for the extraction of anatomical and morphometric features to support the diagnosis of thoracic aortic aneurysms. It is intended for radiologists, cardiovascular surgeons, cardiologists and experts in imaging techniques.
It enables rapid analysis of single and longitudinal CT scans and generates structured PDF reports to assist clinical evaluation
VENUS has not yet obtained CE certification and cannot be used for clinical decision-making or surgery. It is currently available for scientific purposes only.
Available on Windows and macOS, for both desktop and laptop devices
UI designed supported by clinicians to ensure intuitive navigation and clinical usability
Import CT scans directly from PACS, local drives, external USB devices or optical media
Import CT or MRI scans and automatically extract the 3D anatomy using neural networks.
Identify calcifications, hematomas, false lumens, and other critical features.
Perform rapid centerline reconstruction, including supra-aortic branches, leveraging anatomical landmarks.
Automatically retrieve pathology-specific diagnostic parameters and additional anatomical data.
Generate detailed reports enriched with clinically relevant information.
Easily export the segmented anatomical model in standard 3D formats for external use and analysis.
Automate anatomical structure extraction from medical imaging
Generate 3D datasets for in-silico trials
Simulate and refine medical devices before physical prototyping
Model individual anatomies for personalized treatment strategies
Build AI-driven models for cardiovascular risk assessment and disease progression prediction
Pursuant to Law 124/2017 (Article 1, paragraphs 125–129), it is hereby declared that LIVGEMINI SRL received, during the previous fiscal year, State aid and de minimis aid subject to disclosure requirements in the National Register of State Aid (RNA), which can be consulted at the following link: https://www.rna.gov.it