Establishment and Validation of a Risk Stratification Model for Stroke Risk within Three Years in Patients with Cerebral Small Vessel Disease Using a Combined MRI and Machine Learning Algorithm

Cerebral small vessel disease (CSVD) is a major cause of stroke, particularly in the elderly population, leading to significant morbidity and mortality. Accurate identification of high-risk patients and timing of stroke occurrence plays a crucial role in patient prevention and treatment. The study aimed to establish and validate a risk stratification model for stroke within three years in patients with CSVD using a combined MRI and machine learning algorithm approach.