We are modelling patient-specific interventions preoperatively for cardiac surgery.
We use a patient's present MRI/CTCA/DSA scan and generate synthetic radiology data of what cardiac interventions would look like for patient-specific anatomy. We also provide hemodynamic measurements to visualize wall stress, predict rupture or minimize energy loss in interventions.
Simulate the effects of an intervention on a patient's hemodynamics before they reach the operating theatre
While we construct frameworks to quickly analyze individual CT/MRI data, we are building tools that help integrate the imaging data for a complete analysis.
Not all data is the same, nor is each subject. As a result, our models are scalable and can be adjusted to understand which data adjustments need to be made for a physician to best comprehend their information.
We use a combination of large-scale data analysis to cleanly analyze the information from CT/MRI processing.
We bridge the latest research on CFD and Generative AI to derive powerful insights for physicians.
Our UI focuses on the bigger picture for physicians, that allows them to integrate these powerful insights into their pre-operative process.
Ultimately, our goal is to help physicians and equip them with adequate tools to personalize interventions for patients safely.