iView: Anticipate complication with ERI
AI-powered Digital Twin solutions to provide Type 1A Endoleak Risk Index (ERI) before the intervention. Simulate different intervention scenarios and choose the best clinical strategy to enhance your patients’ outcomes.
CE Marked*
Enhance your patient outcomes by assessing complication risk
Choose the best intervention strategy with confidence
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Seamless access
Secured access to your patient-specific 3D simulation results from any device, in just one click.
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Predictive insights
Assess type 1A Endoleak risk prior to intervention with ERI and avoid complications.
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Compare strategies
Easily switch between simulations and identify key differences with just one click.
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Evaluate apposition
Instantly highlight the critical apposition gaps with the Distance Colour Map.
Explore iView with ERI
From the pre-operative CT scan, the aortic digital twin mirrors the exact shape and bio mechanical properties of the patient’s real aorta. This advanced 3D model accurately simulate the interaction of EVAR Endograft with the patient anatomy.
Endoleak Risk Index (ERI)
ERI-Endoleak Risk Index is an AI- powered index generated using 16,000 data points measured on the proximal neck.
ERI estimates endoleak risk with simulated endograft sizes, guiding surgeons toward optimal device selection to reduce the chances of complications.
AI-Powered EVAR Planning
Distance Colour Map
With iView Colour, instantly highlight the apposition gaps between the graft and aortic wall thanks to Distance Colour Map.
Anytime, Anywhere
With iView Pro, securely access to 3D simulation results for everyone, from any device, in just 1 click.
Our Technology
From pre-operative CT scans through automated segmentation and diameter measurement to pre-operative risk assessment, enabling a comprehensive solution for intervention planning.
Patient-specific AI-powered digital twins
From CT Scan to Digital Twins
From pre-operative CT scan, the aortic digital twin mirrors the exact shape and biomechanical properties of the patient’s real aorta.
AI - Powered Segmentation & Sizing
Automatically segments the aorta and computes precise sizing measurements, streamlining the sizing process.
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AI-powered index on digital twin simulation
With the validated Endoleak Risk Index (ERI), clinicians can quantify complication risks preoperatively, while MedTech teams can evaluate devices under realistic conditions — improving both safety and innovation.
The expert perspective
First-hand experience from operating rooms to R&D labs — professionals trust PrediSurge to improve outcomes, enhance safety, and accelerate innovation.
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Clinical Stories
Insights from clinical and R&D practice, directly from our experts
ERI in action
This case, presented by Dr. Nilo J. Mosquera from Hospital Santiago de Compostela, Spain, highlights how a hostile proximal neck can be managed using ERI to leverage AI-powered Digital Twin technology, enhancing clinical decision-making and improving patient outcomes.
Press highlights & Insights
Independent recognition through clinical research and media coverage and PrediSurge insights
Frequently asked questions
What is aortic digital twin?
From a patient’s pre-operative CT scan, the aortic digital twin is created to faithfully reproduce both the shape and the bio mechanical behavior of the real aorta. This advanced 3D model allows precise simulation of how the patient’s anatomy responds to mechanical forces, providing a reliable virtual counterpart of the vessel.
What is ERI?
ERI stands for Endoleak Risk Index, is an AI-powered index based on the analysis of the intervention simulation, with a specific focus on the proximal apposition between the endograft and the patient-specific aortic digital twin. It assesses preoperatively the risk of Type IA endoleak associated with EVAR.
How is ERI calculated?
Each EVAR simulation automatically analyses the proximal aortic neck using 40 cross-sectional slices. For each slice, the aortic wall and endograft are sampled at 200 points each to measure local radii and apposition. This generates up to 16,000 detailed measurements per patient.
Are thrombus and calcifications taken into account?
It is important to distinguish between two different stages of analysis:
- Simulation: Only the aortic lumen is modeled; thrombus and calcifications are not yet included.
- Risk assessment (ERI): Thrombus burden is included as a variable in the machine-learning model used to compute risk.