SUMMARY:
Many patients with stroke have poor outcomes despite successful endovascular therapy (EVT). We hypothesized that machine learning (ML)–based analysis of vascular changes post-EVT could identify macrovascular perfusion deficits such as residual hypoperfusion and distal emboli. Patients with anterior circulation large vessel occlusion stroke, pre- and post-EVT MRI, and successful recanalization (modified TICI 2b/3) were included. An ML algorithm extracted vascular features from pre-…