Despite significant advances, cardiovascular diseases remain the first cause of death.
Mini-invasive interventions such as endovascular aortic repair (EVAR) and transcatheter mitral valve repair (TMVr) are promising but with several strong limitations:
- Lack of quantitative parameters to select treatment strategy.
- Poor technical success rates for some types of procedures.
- Still long interventions with significant radiation dose for patients.
- Suboptimal outcomes often leading to reinterventions.
- High rate of post-operative complications (up to 40%).
- Low-rate eligibility for patients suffuring from cardiovascular diseases
In addition, the time to market for a new device is too long, due to lack of usage of numerical simulations during the design phase and in silico clinical trials during the validation phase.
PrediSurge goal is to solve those problems and, consequently, make cardiovascular interventions safer and more efficient for patients, physicians and manufacturers.
To achieve this goal, PrediSurge aims to create a software (called PlanOp) using digital twin technologies and artificial intelligence, in order to deliver predictive simulations for cardiovascular interventions that will help predicting post-operative complications and developing better devices.
PlanOp patented AI algorithms create 3D digital twins of the patient’s anatomy of interest and of the corresponding implants, with real-life biomechanical behavior.
PlanOp enables:
- Patient-specific digital simulation of the procedure: physicians can visualize in 3D the behavior of the implanted device.
- Virtual testing and selection of different devices and implantation strategies, days before implantation.
- Prediction and prevention of postoperative complications using computation of quantitative and qualitative criteria.
- Better design of future devices
- Un In Silico clinical trials
