Related Experiment Video
Updated: Sep 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Now is the Time to Improve Cognitive Screening and Assessment for Clinical and Research Advancement
J Wesson Ashford1,2,3, Frederick A Schmitt3,4, Michael F Bergeron5
1War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA.
Abstract:
Wang et al. analyze Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment accuracy as screening tests for detecting dementia associated with Alzheimer's disease (AD). Such tests are at the center of controversy regarding recognition and treatment of AD. The continued widespread use of tools such as MMSE (1975) underscores the failure of advancing cognitive screening and assessment, which has hampered the development and evaluation of AD treatments. It is time to employ readily available, efficient computerized measures for population/mass screening, clinical assessment of dementia progression, and accurate determination of approaches for prevention and treatment of AD and related conditions.
Related Concept Videos
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
Cognitive Development During Adulthood
Cognitivism
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...

