Many patients are at high risk for vascular disease, however symptoms do not appear until late stages. Regular monitoring of blood vessels is crucial for early detection and intervention, yet is not currently being sufficiently undertaken. Our system allows for simple scanning to be undertaken regularly for patients, allowing for high level surveillance in co-operation with clinicians. Our research into the inter-relation between blood flow behaviors and vascular developments, including disease progression, shows that these events can be predicted from prior scans. Through large scale monitoring of many patients, our system becomes better at making these prognoses, enabling the earliest possible detection. We have identified patients on hemodialysis as having the highest risk of vascular disease onset, accelerated due to their abnormal vascular configurations. Our system is initially working with these patients, to rapidly grow into masswide AI-based vascular surveillance for everyone.