Integrating Vascular, Neurological, and Metabolic Factors into a Validated Nomogram to Predict 90‑day Outcomes after Mechanical Thrombectomy for Acute Ischemic Stroke
This study developed and validated an interpretable nomogram incorporating vascular, neurological, and metabolic factors to effectively predict 90-day functional outcomes in acute ischemic stroke patients undergoing mechanical thrombectomy, demonstrating robust performance comparable to machine learning models while offering enhanced clinical transparency.