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How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods
Stroke remains one of the leading causes of death and disability in Europe. The European Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID-19 pandemic forced the use of innovative technologies and created pressure to improve internet networks. Moreover, 5G int...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229281/ https://www.ncbi.nlm.nih.gov/pubmed/34072071 http://dx.doi.org/10.3390/life11060488 |
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author | Zeleňák, Kamil Krajina, Antonín Meyer, Lukas Fiehler, Jens Behme, Daniel Bulja, Deniz Caroff, Jildaz Chotai, Amar Ajay Da Ros, Valerio Gentric, Jean-Christophe Hofmeister, Jeremy Kass-Hout, Omar Kocatürk, Özcan Lynch, Jeremy Pearson, Ernesto Vukasinovic, Ivan |
author_facet | Zeleňák, Kamil Krajina, Antonín Meyer, Lukas Fiehler, Jens Behme, Daniel Bulja, Deniz Caroff, Jildaz Chotai, Amar Ajay Da Ros, Valerio Gentric, Jean-Christophe Hofmeister, Jeremy Kass-Hout, Omar Kocatürk, Özcan Lynch, Jeremy Pearson, Ernesto Vukasinovic, Ivan |
author_sort | Zeleňák, Kamil |
collection | PubMed |
description | Stroke remains one of the leading causes of death and disability in Europe. The European Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID-19 pandemic forced the use of innovative technologies and created pressure to improve internet networks. Moreover, 5G internet network will be helpful for the transfer and collecting of extremely big databases. Nowadays, the speed of internet connection is a limiting factor for robotic systems, which can be controlled and commanded potentially from various places in the world. Innovative technologies can be implemented for acute stroke patient management soon. Artificial intelligence (AI) and robotics are used increasingly often without the exception of medicine. Their implementation can be achieved in every level of stroke care. In this article, all steps of stroke health care processes are discussed in terms of how to improve them (including prehospital diagnosis, consultation, transfer of the patient, diagnosis, techniques of the treatment as well as rehabilitation and usage of AI). New ethical problems have also been discovered. Everything must be aligned to the concept of “time is brain”. |
format | Online Article Text |
id | pubmed-8229281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82292812021-06-26 How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods Zeleňák, Kamil Krajina, Antonín Meyer, Lukas Fiehler, Jens Behme, Daniel Bulja, Deniz Caroff, Jildaz Chotai, Amar Ajay Da Ros, Valerio Gentric, Jean-Christophe Hofmeister, Jeremy Kass-Hout, Omar Kocatürk, Özcan Lynch, Jeremy Pearson, Ernesto Vukasinovic, Ivan Life (Basel) Review Stroke remains one of the leading causes of death and disability in Europe. The European Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID-19 pandemic forced the use of innovative technologies and created pressure to improve internet networks. Moreover, 5G internet network will be helpful for the transfer and collecting of extremely big databases. Nowadays, the speed of internet connection is a limiting factor for robotic systems, which can be controlled and commanded potentially from various places in the world. Innovative technologies can be implemented for acute stroke patient management soon. Artificial intelligence (AI) and robotics are used increasingly often without the exception of medicine. Their implementation can be achieved in every level of stroke care. In this article, all steps of stroke health care processes are discussed in terms of how to improve them (including prehospital diagnosis, consultation, transfer of the patient, diagnosis, techniques of the treatment as well as rehabilitation and usage of AI). New ethical problems have also been discovered. Everything must be aligned to the concept of “time is brain”. MDPI 2021-05-27 /pmc/articles/PMC8229281/ /pubmed/34072071 http://dx.doi.org/10.3390/life11060488 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zeleňák, Kamil Krajina, Antonín Meyer, Lukas Fiehler, Jens Behme, Daniel Bulja, Deniz Caroff, Jildaz Chotai, Amar Ajay Da Ros, Valerio Gentric, Jean-Christophe Hofmeister, Jeremy Kass-Hout, Omar Kocatürk, Özcan Lynch, Jeremy Pearson, Ernesto Vukasinovic, Ivan How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title | How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title_full | How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title_fullStr | How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title_full_unstemmed | How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title_short | How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods |
title_sort | how to improve the management of acute ischemic stroke by modern technologies, artificial intelligence, and new treatment methods |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229281/ https://www.ncbi.nlm.nih.gov/pubmed/34072071 http://dx.doi.org/10.3390/life11060488 |
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