This study aims to conduct a comprehensive analysis by integrating clinical factors, aneurysm morphological characteristics, and factors reflecting pathophysiological processes (such as hemodynamic and radiomics features), in order to explore the hemodynamic mechanisms associated with the progression of intracranial dissecting aneurysms. Furthermore, artificial intelligence algorithms will be employed to develop and validate an intelligent risk prediction model for the progression and outcomes of intracranial dissecting aneurysms.