flow/pressure/wall stress estimation from CT angiogram

Avyuct builds AI-powered diagnostics for medical imaging, centered on its Neurovascular World Model. The model detects and localizes vessel occlusions across the arterial tree, including distal medium-vessel occlusions (M2 distal and M3 segments), estimates blood flow, pressure and wall stress from a routine CT angiogram, and forecasts stroke and rupture risk over time. The company also offers AI detection of stroke from brain haemorrhage and coronary artery blockages, plus a pipeline from data preparation to model training, deployment and clinical repor

Read more

AI medical imaging diagnosticsclinical reportingmachine learning model trainingmodel deploymentstroke and rupture risk forecastingvessel occlusion detection and localization