Ischemic stroke, also known as cerebral infarction, is a disorder impacting the blood supply to the brain tissue due to complex reasons, resulting in irreversible damage to the infarct site. According to China's sixth census, approximately 1.94 million individuals died of a stroke in 2018. With the increasing age of the Chinese population, stroke is expected to continue affecting human health in the coming decade. Imaging examination is an indispensable means to diagnose the disease and evaluate its prognosis. In recent years, artificial intelligence and radiomics have been widely used in the medical industry, among which convolutional neural network is more prevalent. Mainly, it has shown obvious superiority in the imaging diagnosis of ischemic stroke, and its efficiency is far higher than manual film reading. This article reviews the research progress of imaging omics based on computed tomography (CT) and magnetic resonance in ischemic stroke.