Background The emergence of artificial intelligence (AI) has significantly influenced the
diagnostic evaluation of stroke and has revolutionized acute stroke care delivery. The …

Aims and objectives: To examine the nature and use of automation in contemporary clinical
information systems by reviewing studies reporting the implementation and evaluation of …

Introduction: In recent years, artificial intelligence (AI) has emerged as a transformative tool
for enhancing stroke diagnosis, aiding treatment decision making, and improving overall …

Introduction In a drip-and-ship model for endovascular thrombectomy (EVT), early
identification of large vessel occlusion (LVO) and timely referral to a comprehensive center …

Data about the coronavirus disease 2019 (COVID-19) pandemic's collateral damage on
ischemic stroke (IS) care during the second epidemic wave in Central Europe are limited …

Computerised decision support (CDS) tools enabled by artificial intelligence (AI) seek to
enhance accuracy and efficiency of clinician decision-making at the point of care. Statistical …

Sven Haller, MD, is a neuroradiologist and the medical director at Centre d'Imagerie
Médicale de Cornavin (CIMC) in Geneva, Switzerland, and visiting professor at the …

Clinical care, workflow, and patient outcomes within National Health Service (NHS)
radiology services will potentially benefit significantly in coming years with the integration of …

Imaging is a key step in evaluating the acute stroke patient in order to establish the correct
diagnosis and to facilitate fast triage decisions regarding treatment with thrombolysis and …

AIM The aim of this study was to evaluate the implementation of artificial intelligence (AI)
software in a quaternary stroke centre as well as assess the accuracy and efficacy of …