A Vagal, L Saba - Radiology: Artificial Intelligence, 2022 - pubs.rsna.org
AI has drastically changed the acute stroke workflow. The AI technology runs in parallel with hospital picture archiving and communication systems (PACS) in which imaging data are …
In recent decades, advances in image-based assessment of stroke have enabled highly effective treatments to be deployed clinically, greatly improving stroke outcomes. However …
D Hurley - Neurology Today, 2023 - journals.lww.com
Treatment decisions for stroke used to follow a linear decision pathway. A patient who arrived by ambulance in the emergency department unable to move their left arm would …
FC Kitamura, I Pan, SF Ferraciolli… - Radiologic …, 2021 - radiologic.theclinics.com
Radiologists have been at the forefront of the digitization process in medicine. 1 Artificial intelligence (AI) is a promising area of innovation, particularly in medical imaging. 1 Thus, it …
L Ding, C Liu, Z Li, Y Wang - Stroke, 2020 - Am Heart Assoc
We are in the midst of an artificial intelligence (AI) revolution. With the rapid development of deep learning and machine learning algorithms in recent years, the application of AI in …
NM Murray, P Phan, G Hager… - The Neuroradiology …, 2022 - journals.sagepub.com
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and …
Objective: To systematically review the literature of Artificial Intelligence (AI) use in stroke diagnostics and characterize the use of AI products currently available for detecting a Large …
R MCNULTY - American Journal of Managed Care, 2023 - search.ebscohost.com
The article discusses the potential of artificial intelligence (AI) as a tool in managing patients who suffered a stroke. Also cited are the posters presented at the 2023 World Stroke …