Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary

Deep learning applications have permeated acute ischemic stroke imaging, particularly for stroke lesion segmentation; however, challenges remain, including the need for standardized protocols and test sets, larger public datasets, and performance validation in real-world settings.