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Role of Artificial Intelligence in TeleStroke: An Overview
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 thr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576935/ https://www.ncbi.nlm.nih.gov/pubmed/33117259 http://dx.doi.org/10.3389/fneur.2020.559322 |
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author | Ali, Faryal Hamid, Umair Zaidat, Osama Bhatti, Danish Kalia, Junaid Siddiq |
author_facet | Ali, Faryal Hamid, Umair Zaidat, Osama Bhatti, Danish Kalia, Junaid Siddiq |
author_sort | Ali, Faryal |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7576935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75769352020-10-27 Role of Artificial Intelligence in TeleStroke: An Overview Ali, Faryal Hamid, Umair Zaidat, Osama Bhatti, Danish Kalia, Junaid Siddiq Front Neurol Neurology 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. Frontiers Media S.A. 2020-10-07 /pmc/articles/PMC7576935/ /pubmed/33117259 http://dx.doi.org/10.3389/fneur.2020.559322 Text en Copyright © 2020 Ali, Hamid, Zaidat, Bhatti and Kalia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Ali, Faryal Hamid, Umair Zaidat, Osama Bhatti, Danish Kalia, Junaid Siddiq Role of Artificial Intelligence in TeleStroke: An Overview |
title | Role of Artificial Intelligence in TeleStroke: An Overview |
title_full | Role of Artificial Intelligence in TeleStroke: An Overview |
title_fullStr | Role of Artificial Intelligence in TeleStroke: An Overview |
title_full_unstemmed | Role of Artificial Intelligence in TeleStroke: An Overview |
title_short | Role of Artificial Intelligence in TeleStroke: An Overview |
title_sort | role of artificial intelligence in telestroke: an overview |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576935/ https://www.ncbi.nlm.nih.gov/pubmed/33117259 http://dx.doi.org/10.3389/fneur.2020.559322 |
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