Development of a predictive model for hemorrhagic transformation following mechanical thrombectomy in patients with acute ischemic stroke

Key Points

• The aim is to create a model that predicts hemorrhagic transformation risk in patients with acute ischemic stroke after mechanical thrombectomy.
• Developed a predictive model using patient data from those undergoing mechanical thrombectomy.
• Analyzed factors contributing to the risk of hemorrhagic transformation post-procedure.
• The predictive model showed high accuracy in identifying patients at risk of hemorrhagic transformation.
• It enables early identification of high-risk individuals for targeted preventive measures.