ArticleCNS neuroscience & therapeutics2022
Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease.
Article in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images.Journal of Alzheimer's disease reports · 2023Pooled it
- Exploring Alzheimer Disease from a Retinal and Ocular Perspective.Biomedicines · 2026Review
- Centralized Review of Alzheimer's Disease and Related Dementias Biomedical Repositories and Computational Methods.Bioengineering (Basel, Switzerland) · 2026Review
- OCT-based optic neuropathy diagnosis using explainable and privacy-preserving machine learning.Scientific reports · 2026Article
- Artificial intelligence and neurodegeneration: state of the art and explainability.International journal of retina and vitreous · 2026Review
- Multiple attention based deep multimodal fusion network for glaucoma and neurodegenerative disease diagnosis.Scientific reports · 2026Article
- Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Review
- Analyzing Retinal Vessel Morphology in MS Using Interpretable AI on Deep Learning-Segmented IR-SLO Images.Bioengineering (Basel, Switzerland) · 2025Article
- An explainable transformer model for Alzheimer's disease detection using retinal imaging.Scientific reports · 2025Article
- A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.BMC neurology · 2025Article
- Optical Coherence Tomography in Huntington's Disease-A Potential Future Biomarker for Neurodegeneration?Neurology international · 2025Review
- Artificial intelligence-enhanced retinal imaging as a biomarker for systemic diseases.Theranostics · 2025Review
- Retinal microvascular density and inner thickness in Alzheimer's disease and mild cognitive impairment.Frontiers in aging neuroscience · 2025Article
- Fluorescence lifetime imaging ophthalmoscopy adds the retina to cortical pathology for visual dysfunction in neurodegenerative diseases.Frontiers in neurology · 2025Review
- Diagnosis of cognitive impairment and dementia: blood plasma and optical coherence tomography.Brain communications · 2025Article
- Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.Scientific reports · 2024Article
- Article
- Color Fundus Photography and Deep Learning Applications in Alzheimer Disease.Mayo Clinic proceedings. Digital health · 2024Article
- Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis.Journal of medical Internet research · 2024Article
Corrections and comments
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Authors and funding
20 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsWe mainly evaluate retinal alterations in Alzheimer's disease (AD) patients, investigate the associations between retinal changes with AD biomarkers, and explore an optimal machine learning (ML) model for AD diagnosis based on retinal thickness.
methodsA total of 159 AD patients and 299 healthy controls were enrolled. The retinal parameters of each participant were measured using optical coherence tomography (OCT). Additionally, cognitive impairment severity, brain atrophy, and cerebrospinal fluid (CSF) biomarkers were measured in AD patients.
resultsAD patients demonstrated a significant decrease in the average, superior, and inferior quadrant peripapillary retinal nerve fiber layer, macular retinal nerve fiber layer, ganglion cell layer (GCL), inner plexiform layer (IPL) thicknesses, as well as total macular volume (TMV) (all p < 0.05). Moreover, TMV was positively associated with Mini-Mental State Examination and Montreal Cognitive Assessment scores, IPL thickness was correlated negatively with the medial temporal lobe atrophy score, and the GCL thickness was positively correlated with CSF Aβ
conclusionWe identified the retinal alterations in AD patients and found that macular thickness and volume were associated with AD severity and biomarkers. Furthermore, we confirmed that OCT combined with ML could serve as a potential diagnostic tool for AD.
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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.