Sirilertmekasakul Chananchida, Rattanawong Wanakorn, Gongvatana Assawin, Srikiatkhachorn Anan
Faculty of Medicine, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Front Hum Neurosci. 2023 Mar 30;17:1133632. doi: 10.3389/fnhum.2023.1133632. eCollection 2023.
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.
认知筛查测试是一种可在临床环境中轻松进行的简短认知检查。然而，该测试的主要缺点之一是只有纸质版本，这使得测试只能由健康中心的医务人员手动进行管理和评分。解决这些问题的主要办法是开发一种用于筛查认知障碍个体的潜在远程评估方法。目前，多项研究已将人工智能（AI）技术应用于这些测试中，将传统的纸质神经认知测试演变为数字化的人工智能辅助神经认知测试。这些研究为人工智能增强认知筛查测试具有更好效果的潜力提供了可靠证据，并为未来研究进一步改进人工智能技术在认知筛查测试中的应用提供了框架。这篇综述文章的目的是讨论数字化认知筛查测试中使用的不同类型人工智能及其优缺点。
