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The current state of artificial intelligence-augmented digitized neurocognitive screening test
The cognitive screening test is a brief cognitive examination that could be easily performed in a clinical setting. However, one of the main drawbacks of this test was that only a paper-based version was available, which restricts the test to be manually administered and graded by medical personnel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098088/ https://www.ncbi.nlm.nih.gov/pubmed/37063100 http://dx.doi.org/10.3389/fnhum.2023.1133632 |
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author | Sirilertmekasakul, Chananchida Rattanawong, Wanakorn Gongvatana, Assawin Srikiatkhachorn, Anan |
author_facet | Sirilertmekasakul, Chananchida Rattanawong, Wanakorn Gongvatana, Assawin Srikiatkhachorn, Anan |
author_sort | Sirilertmekasakul, Chananchida |
collection | PubMed |
description | The cognitive screening test is a brief cognitive examination that could be easily performed in a clinical setting. However, one of the main drawbacks of this test was that only a paper-based version was available, which restricts the test to be manually administered and graded by medical personnel at the health centers. The main solution to these problems was to develop a potential remote assessment for screening individuals with cognitive impairment. Currently, multiple studies have been adopting artificial intelligence (AI) technology into these tests, evolving the conventional paper-based neurocognitive test into a digitized AI-assisted neurocognitive test. These studies provided credible evidence of the potential of AI-augmented cognitive screening tests to be better and provided the framework for future studies to further improve the implementation of AI technology in the cognitive screening test. The objective of this review article is to discuss different types of AI used in digitized cognitive screening tests and their advantages and disadvantages. |
format | Online Article Text |
id | pubmed-10098088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100980882023-04-14 The current state of artificial intelligence-augmented digitized neurocognitive screening test Sirilertmekasakul, Chananchida Rattanawong, Wanakorn Gongvatana, Assawin Srikiatkhachorn, Anan Front Hum Neurosci Neuroscience The cognitive screening test is a brief cognitive examination that could be easily performed in a clinical setting. However, one of the main drawbacks of this test was that only a paper-based version was available, which restricts the test to be manually administered and graded by medical personnel at the health centers. The main solution to these problems was to develop a potential remote assessment for screening individuals with cognitive impairment. Currently, multiple studies have been adopting artificial intelligence (AI) technology into these tests, evolving the conventional paper-based neurocognitive test into a digitized AI-assisted neurocognitive test. These studies provided credible evidence of the potential of AI-augmented cognitive screening tests to be better and provided the framework for future studies to further improve the implementation of AI technology in the cognitive screening test. The objective of this review article is to discuss different types of AI used in digitized cognitive screening tests and their advantages and disadvantages. Frontiers Media S.A. 2023-03-30 /pmc/articles/PMC10098088/ /pubmed/37063100 http://dx.doi.org/10.3389/fnhum.2023.1133632 Text en Copyright © 2023 Sirilertmekasakul, Rattanawong, Gongvatana and Srikiatkhachorn. https://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 | Neuroscience Sirilertmekasakul, Chananchida Rattanawong, Wanakorn Gongvatana, Assawin Srikiatkhachorn, Anan The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title | The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title_full | The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title_fullStr | The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title_full_unstemmed | The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title_short | The current state of artificial intelligence-augmented digitized neurocognitive screening test |
title_sort | current state of artificial intelligence-augmented digitized neurocognitive screening test |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098088/ https://www.ncbi.nlm.nih.gov/pubmed/37063100 http://dx.doi.org/10.3389/fnhum.2023.1133632 |
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