Using Artificial Intelligence for Aneurysm Rupture Risk Monitoring

Clinicians are leveraging artificial intelligence to measure cerebral aneurysms and stratify rupture risk to enhance clinical decision-making and improve outcomes. Cerebral aneurysms, also known as intracranial or brain aneurysms, present a unique challenge for clinicians, as most are small dilations that occur at weak points along the arteries of the brain and have no symptoms. However, as the aneurysm grows, the risk of rupture increases. Once the aneurysm expands and the blood vessel wall becomes too thin, the aneurysm will rupture, causing bleeding into the space around the brain known as subarachnoid hemorrhage (SAH), a life-threatening event that requires emergency medical care, according to insights from Johns Hopkins Medicine. The risks associated with ruptures make detecting and monitoring aneurysms and their growth key to improving patient outcomes, but tracking rupture risk can be challenging due to limitations in current aneurysm measurement approaches.