Related Experiment Video
Updated: May 7, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Current management decisions in mild cognitive impairment
Benjamin A Bensadon1, Germaine L Odenheimer
1Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, 1122 NE 13th Street, ORB 1200, Oklahoma City, OK 73117, USA.
Abstract:
Efforts toward early detection of Alzheimer disease (AD) have focused on refinement and identification of diagnostic markers, with the goal of preventing or delaying disease progression. Mild cognitive impairment (MCI) has emerged as a potential precursor to dementia. Though not without controversy, MCI has been associated with an increased risk for conversion to AD. In this article, with emphasis on meta-analyses, randomized controlled trials, and extant literature reviews, considerations and recommendations for optimal clinical management of MCI are offered. Given the substantial heterogeneity of this patient population and inconsistent research methodologies, the need for informed, clinical judgment is critical.
More Related Videos
Related Concept Videos
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
Cognitive Development During Adulthood
Alzheimer's Disease: Treatment
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
Dementia l: Introduction
Dementia
The progression of dementia is generally gradual.

