Artificial Intelligence and the Evaluation and Treatment of Stroke

Stroke affects close to 800,000 Americans every year and is a major cause of disability and mortality. Prompt, accurate diagnosis and treatment of stroke is of critical importance in minimizing these deleterious effects. Recent advances in computer technology have allowed the development artificial...

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Detalles Bibliográficos
Autores principales: Dresser, Lee P., Kohn, Michael Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Delaware Academy of Medicine / Delaware Public Health Association 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494798/
https://www.ncbi.nlm.nih.gov/pubmed/37701474
http://dx.doi.org/10.32481/djph.2023.08.014
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author Dresser, Lee P.
Kohn, Michael Anders
author_facet Dresser, Lee P.
Kohn, Michael Anders
author_sort Dresser, Lee P.
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description Stroke affects close to 800,000 Americans every year and is a major cause of disability and mortality. Prompt, accurate diagnosis and treatment of stroke is of critical importance in minimizing these deleterious effects. Recent advances in computer technology have allowed the development artificial intelligence technology that can be applied to the diagnosis, treatment and rehabilitation of victims of stroke.
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spelling pubmed-104947982023-09-12 Artificial Intelligence and the Evaluation and Treatment of Stroke Dresser, Lee P. Kohn, Michael Anders Dela J Public Health Article Stroke affects close to 800,000 Americans every year and is a major cause of disability and mortality. Prompt, accurate diagnosis and treatment of stroke is of critical importance in minimizing these deleterious effects. Recent advances in computer technology have allowed the development artificial intelligence technology that can be applied to the diagnosis, treatment and rehabilitation of victims of stroke. Delaware Academy of Medicine / Delaware Public Health Association 2023-08-31 /pmc/articles/PMC10494798/ /pubmed/37701474 http://dx.doi.org/10.32481/djph.2023.08.014 Text en 2023 The journal and its content is copyrighted by the Delaware Academy of Medicine / Delaware Public Health Association (Academy/DPHA) https://creativecommons.org/licenses/by-nc-nd/4.0/This DJPH site, its contents, and its metadata are licensed under Creative Commons License - CC BY-NC-ND. (Please click to read (https://creativecommons.org/licenses/by-nc-nd/4.0/) common-language details on this license type, or copy and paste the following into your web browser: https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Dresser, Lee P.
Kohn, Michael Anders
Artificial Intelligence and the Evaluation and Treatment of Stroke
title Artificial Intelligence and the Evaluation and Treatment of Stroke
title_full Artificial Intelligence and the Evaluation and Treatment of Stroke
title_fullStr Artificial Intelligence and the Evaluation and Treatment of Stroke
title_full_unstemmed Artificial Intelligence and the Evaluation and Treatment of Stroke
title_short Artificial Intelligence and the Evaluation and Treatment of Stroke
title_sort artificial intelligence and the evaluation and treatment of stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494798/
https://www.ncbi.nlm.nih.gov/pubmed/37701474
http://dx.doi.org/10.32481/djph.2023.08.014
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