Identification of successful cerebral reperfusions (mTICI ≥2b) using an artificial intelligence strategy

Background The modified thrombolysis in cerebral infarction (mTICI) scale is a widely used and validated qualitative tool to evaluate angiographic intracerebral inflow following endovascular thrombectomy (EVT). We validated a machine-learning (ML) algorithm to grade digital subtraction angiograms (DSA) using the mTICI scale. Materials and methods We included angiograms of identified middle cerebral artery (MCA) occlusions who underwent EVT. The...