ArticleDiagnostics (Basel, Switzerland)2021
Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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Who cites it
23 citing papers in PubMed.
- Retinal fluid segmentation in real-world OCT imaging of neovascular AMD using hybrid deep learning and graph-based optimization.Biomedical optics express · 2026Article
- Optical Coherence Tomography Biomarkers Predicting Progression to Atrophy in Non-Exudative Age-Related Macular Degeneration.Diagnostics (Basel, Switzerland) · 2026Review
- Correlation of drusen burden and vascular integrity in age-related macular degeneration using three-dimensional choroidal vascular model.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- PAIR: Evaluating the Limits of Agreement Among Non-Retinal Specialist Using PathFinder Artificial Intelligence Tool for Retinal Disease Referrals: A Prospective Observational Study.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- The effects of a 13-year war on the reality of ophthalmology services and education in Syria.AJO international · 2025Article
- Comprehensive Survey of OCT-Based Disorders Diagnosis: From Feature Extraction Methods to Robust Security Frameworks.Bioengineering (Basel, Switzerland) · 2025Review
- Review
- Recent Optical Coherence Tomography (OCT) Innovations for Increased Accessibility and Remote Surveillance.Bioengineering (Basel, Switzerland) · 2025Review
- Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence.Medicina (Kaunas, Lithuania) · 2025Review
- Review
- Human versus Artificial Intelligence: Validation of a Deep Learning Model for Retinal Layer and Fluid Segmentation in Optical Coherence Tomography Images from Patients with Age-Related Macular Degeneration.Diagnostics (Basel, Switzerland) · 2024Article
- Rigid alignment method for secondary analyses of optical coherence tomography volumes.Biomedical optics express · 2024Article
- High-accuracy 3D segmentation of wet age-related macular degeneration via multi-scale and cross-channel feature extraction and channel attention.Biomedical optics express · 2024Article
- Article
- Smart Contact Lenses as Wearable Ophthalmic Devices for Disease Monitoring and Health Management.Chemical reviews · 2023Review
- Unleashing the power of optical attenuation coefficients to facilitate segmentation strategies in OCT imaging of age-related macular degeneration: perspective.Biomedical optics express · 2023Article
- Article
- Scale-adaptive model for detection and grading of age-related macular degeneration from color retinal fundus images.Scientific reports · 2023Article
- Classification of Retinal Diseases in Optical Coherence Tomography Images Using Artificial Intelligence and Firefly Algorithm.Diagnostics (Basel, Switzerland) · 2023Article
- The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey.Sensors (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
In developed countries, age-related macular degeneration (AMD), a retinal disease, is the main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently the gold standard for assessing individuals for initial AMD diagnosis. In this paper, we look at how OCT imaging can be used to diagnose AMD. Our main aim is to examine and compare automated computer-aided diagnostic (CAD) systems for diagnosing and grading of AMD. We provide a brief summary, outlining the main aspects of performance assessment and providing a basis for current research in AMD diagnosis. As a result, the only viable alternative is to prevent AMD and stop both this devastating eye condition and unwanted visual impairment. On the other hand, the grading of AMD is very important in order to detect early AMD and prevent patients from reaching advanced AMD disease. In light of this, we explore the remaining issues with automated systems for AMD detection based on OCT imaging, as well as potential directions for diagnosis and monitoring systems based on OCT imaging and telemedicine applications.
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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.