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

Chananchida Sirilertmekasakul1, Wanakorn Rattanawong1, Assawin Gongvatana1

  • 1Faculty of Medicine, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.

Frontiers in Human Neuroscience
|April 17, 2023
PubMed
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Digitized cognitive screening tests using artificial intelligence (AI) offer remote assessment capabilities, overcoming limitations of traditional paper-based methods for cognitive impairment screening.

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Medical Technology

Background:

  • Traditional cognitive screening tests are limited by their paper-based format, requiring manual administration and grading.
  • This limits accessibility and scalability for widespread cognitive impairment screening.
  • Remote assessment is needed to overcome these logistical challenges.

Purpose of the Study:

  • To review various artificial intelligence (AI) applications in digitized cognitive screening tests.
  • To discuss the advantages and disadvantages of different AI types used in these digital tests.
  • To provide a framework for future advancements in AI-driven cognitive assessment.

Main Methods:

  • Literature review of studies incorporating AI into cognitive screening tests.
Keywords:
artificial intelligenceautomated speech recognitioncognitive assessmentcomputer visioncomputerized screening testdementiamachine learning

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  • Analysis of AI technologies applied to digitize neurocognitive assessments.
  • Evaluation of the benefits and drawbacks of AI-assisted cognitive screening.

    • Main Results:

    • AI integration transforms traditional tests into digitized, AI-assisted neurocognitive assessments.
    • Studies show AI-augmented tests offer improved performance and potential for remote screening.
    • Evidence supports AI's capability to enhance cognitive screening efficiency and accessibility.

    Conclusions:

    • AI technology is pivotal in advancing cognitive screening tests beyond paper-based limitations.
    • Digitized, AI-assisted tools show significant promise for remote and scalable cognitive impairment detection.
    • Further research can optimize AI implementation for more effective cognitive health monitoring.