ReviewBrain and behavior2025
The Eye as a Window to Brain Health: Can Retinal Imaging and AI Modeling Predict Alzheimer's Disease?
Review in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The Eye as a Window to Brain Health: Can Retinal Imaging and AI Modeling Predict Alzheimer's Disease?Brain and behavior · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis is a review article to evaluate clinical evidence for the vascular model of Alzheimer's disease (AD) pathology and elucidate the extent to which retinal imaging with AI modeling can be useful in earlier diagnosis of the condition.
methodsI comprehensively reviewed the literature on the current understanding of AD pathology and emerging role of the neurovascular system. I reviewed the evidence for retinal vascular biomarkers that can predict the presence of cognitive impairments seen in AD and AI models that utilize these to diagnose and elucidate pathophysiology for the condition.
resultsIt is found that retinal imaging offers a non-invasive and cost-effective way to detect AD-related neurovascular changes and, when coupled with AI, holds a transformative role in improving screening, diagnostics, and our understanding of the disease.
conclusionThere is evidence to suggest that retinal imaging can provide an earlier diagnosis of the condition. This can change the practice by encouraging lifestyle modification as crucial in modifying the progression of the disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.