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Updated: Jun 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions
Catherine Diaz-Asper1, Chelsea Chandler2, Brita Elvevåg3
1Department of Psychology & Center for Optimal Aging, Marymount University, Arlington, VA, USA.
Abstract:
This study surveyed 51 specialist clinicians for their views on existing cognitive screening tests for mild cognitive impairment and their opinions about a hypothetical remote screener driven by artificial intelligence (AI). Responses revealed significant concerns regarding the sensitivity, specificity, and time taken to administer current tests, along with a general willingness to consider adopting telephone-based screening driven by AI. Findings highlight the need to design screeners that address the challenges of recognizing the earliest stages of cognitive decline and that prioritize not only accuracy but also stakeholder input.
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