Abstract

Info

Title:: Application of computer-aided diagnosis for cerebrovascular diseases

Keywords:: stroke cerebrovascular disease computer-aided diagnosis artificial intelligence review

Abstract:: Cerebrovascular disease has the characteristics of high mortality, high disability rate, and high recurrence rate. The key to reducing mortality is the early diagnosis of intracranial lesions. Clinically, the physician diagnosis of cerebrovascular disease is inefficient, and the missed diagnosis and misdiagnosis often occur. The computer-aided diagnosis technology based on artificial intelligence (AI) can assist physicians to localize the early lesions quickly and accurately by obtaining the features in medical images. Here the applications of AI in differentiating stroke types, determining the time of stroke onset, and delineating the stroke infarction lesions are introduced, focusing on the AI-assisted detections of intracranial aneurysm, intracranial artery stenosis and brain arteriovenous malformations. Finally, the challenges faced in the AI-assisted diagnosis of cerebrovascular disease are summarized, and the prospects for future research are put forward.