Arteriovenous Malformations, Cerebral

Endovascular procedures for treating brain aneurysms and arteriovenous malformations (AVMs) are becoming increasingly popular due to their less invasive nature and lower risk of complications. However, they still face challenges such as difficult catheter navigation and incomplete embolization. This study aims to improve the efficiency and safety of endovascular procedures by developing new preoperative planning methodologies. These methodologies involve mapping the cerebral vasculature and creating computational fluid dynamics (CFD) and artificial intelligence (AI) models to simulate blood flow. By using these models, interventional radiologists can better plan catheter navigation and predict embolization outcomes. This could lead to faster, more accurate procedures with reduced radiation exposure for patients.