As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data
processing techniques. One such technique, deep learning (DL), has become a remarkably …

Rapid growth in the amount of data that is electronically recorded as part of routine clinical
operations has generated great interest in the use of Big Data methodologies to address …

Use of Stroke Imaging during the Covid-19 Pandemic The authors reviewed an imaging
database used to determine whether patients with acute stroke were eligible to undergo …

The effect of disruptions has been studied extensively in surgery and emergency medicine,
and a number of solutions—such as preoperative checklists—have been implemented to …

Background and Purpose—Successful reperfusion can be achieved in more than two-thirds
of patients treated with mechanical thrombectomy. Therefore, it is important to understand …

Objective Elevated systolic blood pressure (SBP) after successful revascularization (SR) via
endovascular therapy (EVT) is a known predictor of poor outcome. However, the optimal …

Workflow interruptions in the health care delivery environment are a major contributor to
medical errors and have been extensively studied within numerous hospital settings …

Arterial fenestrations are an anatomic variant with indeterminate significance. Given the
controversy surrounding fenestrations we sought their prevalence within our practice along …

Background and Purpose: Demographic disparities in proximity to stroke care influence time
to treatment and clinical outcome but remain understudied at the national level. This study …

OBJECTIVE Cranial dural arteriovenous fistulas (dAVFs) are rare lesions, hampering efforts
to understand them and improve their care. To address this challenge, investigators with an …