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

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.
• 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.