Role of Artificial Intelligence in TeleStroke: An Overview.
Autor: | Ali F; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan., Hamid U; Department of Neurology, University of Illinois, College of Medicine, Peoria, IL, United States., Zaidat O; Departments of Endovascular Neurosurgery and Stroke, St. Vincent Mercy Medical Center, Toledo, OH, United States., Bhatti D; Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States., Kalia JS; AINeuroCare, Dallas, TX, United States.; Clinical Strategy, VeeMed Inc., Roseville, CA, United States. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in neurology [Front Neurol] 2020 Oct 07; Vol. 11, pp. 559322. Date of Electronic Publication: 2020 Oct 07 (Print Publication: 2020). |
DOI: | 10.3389/fneur.2020.559322 |
Abstrakt: | Teleneurology has provided access to neurological expertise and state-of-the-art stroke care where previously they have been inaccessible. The use of Artificial Intelligence with machine learning to assist telestroke care can be revolutionary. This includes more rapid and more reliable diagnosis through imaging analysis as well as prediction of hospital course and 3-month prognosis. Intelligent Electronic Medical Records can search free text and provide decision assistance by analyzing patient charts. Speech recognition has advanced enough to be reliable and highly convenient. Smart contextually aware communication and alert programs can enhance efficiency of patient flow and improve outcomes. Automated data collection and analysis can make quality improvement and research projects quicker and much less burdensome. Despite current challenges, these synergistic technologies hold immense promise in enhancing the clinician experience, helping to reduce physician burnout while improving patient health outcomes at a lower cost. This brief overview discusses the multifaceted potential of AI use in telestroke. (Copyright © 2020 Ali, Hamid, Zaidat, Bhatti and Kalia.) |
Databáze: | MEDLINE |
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