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Updated: Jul 12, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mild cognitive impairment and dementia
Marilyn S Albert1, Deborah Blacker
1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21212, USA. malbert9@jhmi.edu
Abstract:
Mild cognitive impairment (MCI) is a clinical syndrome thought to represent the transition between normal function and dementia. This review describes data that support the existence of such a transitional phase, outlines the heterogeneity of MCI and how that has influenced the evolving concept of MCI, and discusses the impact of heterogeneity on recent MCI clinical trials.
Insights
Mild cognitive impairment (MCI) signifies a stage between normal cognition and dementia. Understanding MCI
Area of Science:
- Neurology
- Gerontology
- Neuroscience
Background:
- Mild cognitive impairment (MCI) is recognized as a transitional phase between normal aging and dementia.
- The concept of MCI has evolved due to its inherent heterogeneity.
- This heterogeneity impacts the design and outcomes of clinical trials for MCI.
Purpose of the Study:
- To review evidence supporting MCI as a distinct transitional stage.
- To explore the heterogeneity of MCI and its influence on the evolving definition.
- To discuss the implications of MCI heterogeneity for clinical trial outcomes.
Main Methods:
- Literature review of studies on MCI.
- Analysis of data supporting the transitional nature of MCI.
- Examination of how MCI heterogeneity affects clinical trial designs and results.
Main Results:
- Evidence supports MCI as a transitional phase from normal function to dementia.
- MCI is a heterogeneous condition, impacting its definition and study.
- Heterogeneity in MCI poses challenges for clinical trials.
Conclusions:
- MCI represents a critical transitional phase in cognitive decline.
- Acknowledging MCI heterogeneity is crucial for accurate diagnosis and research.
- Future MCI research and trials must account for this heterogeneity.
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