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The current state of artificial intelligence-augmented digitized neurocognitive screening test

Author(s)
Sirilertmekasakul, Chananchida
Rattanawong, Wanakorn
Gongvatana, Assawin
Srikiatkhachorn, Anan
Date Issued
January 1, 2023
Type
Review
DOI
10.3389/fnhum.2023.1133632
Abstract
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.
Citation
Frontiers in Human Neuroscience, 17, 2023
Subjects

artificial intelligen...

automated speech reco...

cognitive assessment

computer vision

computerized screenin...

dementia

machine learning

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