Artificial intelligence for detection and staging of Alzheimer’s disease using retinal images

OBJECTIVES: This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retinal image reading for detecting referral-requiring Alzheimer's disease in adults who have behavioral symptoms or cognitive decline in the primary care setting. Secondary objectives Where data are available, we will investigate heterogeneity by incorporating covariates in a metaregression.

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Publication Details

Journal
Cochrane Database of Systematic Reviews
Published
2026-05-21
DOI
https://doi.org/10.1002/14651858.cd016358
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence for detection and staging of Alzheimer’s disease using retinal images

Jonathan M. Holmes, Meet Panjwani, Eungjoo Lee, Igor Kozak et al.
Cochrane Database of Systematic Reviews
Retinal Imaging and Analysis
article

Artificial intelligence for detection and staging of Alzheimer’s disease using retinal images

Jonathan M. Holmes, Meet Panjwani, Eungjoo Lee, Igor Kozak, Steven Rapcsak, Su-Hsun Liu, Abel Harris
article en

Abstract

OBJECTIVES: This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retinal image reading for detecting referral-requiring Alzheimer's disease in adults who have behavioral symptoms or cognitive decline in the primary care setting. Secondary objectives Where data are available, we will investigate heterogeneity by incorporating covariates in a metaregression.

Cochrane Database of Systematic ReviewsVol. 2026(5)
University of Arizona (US), Colorado School of Public Health (US), University of Colorado Anschutz Medical Campus (US)
Quality Education
Openalex Percentile: Top 5%
Retinal Imaging and Analysis
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