Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms

Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrhage, a severe form of stroke with high mortality and morbidity. Endovascular treatments, such as coiling and flow diversion, aim to induce thrombosis within the aneurysmal sac. Clinicians face challenges in predicting clot formation due to the complex interplay of blood flow, platelet transport, and biochemical reactions. Computational Fluid Dynamic