Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …

Endovascular treatment is a highly effective therapy for acute ischemic stroke due to large
vessel occlusion. However, in clinical practice, nearly half of the patients do not have …

Management of stroke highly depends on informa-tion from imaging studies. Noncontrast
computed tomography (CT) and magnetic resonance imaging (MRI) can both be used to …

Accepted: 10 December 2020 In recent years strokes are one of the leading causes of death
by affecting the central nervous system. Among different types of strokes, ischemic and …

Introduction Machine learning has been increasingly used to develop predictive models to
diagnose different disease conditions. The heterogeneity of the kidney transplant population …

Background: A predictive model can provide physicians, relatives, and patients the accurate
information regarding the severity of disease and its predicted outcome. In this study, we …

The correct recognition of the etiology of ischemic stroke (IS) allows tempestive interventions
in therapy with the aim of treating the cause and preventing a new cerebral ischemic event …

OBJECTIVE. Outpatient appointment no-shows are a common problem. Artificial intelligence
predictive analytics can potentially facilitate targeted interventions to improve efficiency. We …

Artificial intelligence (AI) is having a disruptive and transformative effect on clinical medicine.
Prompt clinical diagnosis and imaging are critical for minimizing the morbidity and mortality …

Background and Objectives Very poor outcome despite IV thrombolysis (IVT) and
mechanical thrombectomy (MT) occurs in approximately 1 of 4 patients with ischemic stroke …