SynthesisSurvey of ophthalmology
Automated detection of age-related macular degeneration in color fundus photography: a systematic review.
Synthesis in Survey of ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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
24 citing papers in PubMed, 77 citations in OpenAlex.
- Pioneering Comprehensive Eye Care in Northern Pakistan: Development and Implementation of a Hub-and-Spoke Model.Cureus · 2026Article
- A prospective study for validating an automated AI-based system for detecting age-related macular degeneration in clinical settings.Scientific reports · 2026Article
- Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach.PLoS computational biology · 2026Article
- Multimodal Deep Learning Differentiates Papilledema and Non-Arteritic Anterior Ischemic Optic Neuropathy From Healthy Eyes.Investigative ophthalmology & visual science · 2026Article
- A Simulation Procedure for Stereological Correction of Early AMD Lesion Sizes Observed in Single OCT-B-Scans.Translational vision science & technology · 2026Article
- Automated Multi-Class Classification of Retinal Pathologies: A Deep Learning Approach to Unified Ophthalmic Screening.Diagnostics (Basel, Switzerland) · 2025Article
- 'EarlyAMDRate': A grading instrument for OCT-based assessment of early lesions caused by age-related macular degeneration.Acta ophthalmologica · 2025Article
- Enhancing medical explainability in deep learning for age-related macular degeneration diagnosis.Scientific reports · 2025Article
- SCONe: a community-acquired retinal image repository enabling ocular, cardiovascular and neurodegenerative disease prediction.BMJ health & care informatics · 2025Article
- Extracting full information from OCT scans-signs of early age-related macular degeneration within inner retinal layers by local neighbourhood statistics. Part II: Results.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Extracting full information from OCT scans-signs of early age-related macular degeneration within inner retinal layers by local neighbourhood statistics. Part I: Methodology.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Ensemble learning for retinal disease recognition under limited resources.Medical & biological engineering & computing · 2024Article
- Enhancing Readability and Detection of Age-Related Macular Degeneration Using Optical Coherence Tomography Imaging: An AI Approach.Bioengineering (Basel, Switzerland) · 2024Article
- Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification.Arquivos brasileiros de oftalmologia · 2023Article
- Smart AMD prognosis through cellphone: an innovative localized AI-based prediction system for anti-VEGF treatment prognosis in nonagenarians and centenarians.International ophthalmology · 2022Article
- Automated method for real-time AMD screening of fundus images dedicated for mobile devices.Medical & biological engineering & computing · 2022Article
- DCNN-based prediction model for detection of age-related macular degeneration from color fundus images.Medical & biological engineering & computing · 2022Article
- Five-Year Cost-Effectiveness Modeling of Primary Care-Based, Nonmydriatic Automated Retinal Image Analysis Screening Among Low-Income Patients With Diabetes.Journal of diabetes science and technology · 2022Article
- A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers.Scientific reports · 2022Article
- Cataract: Advances in surgery and whether surgery remains the only treatment in future.Advances in ophthalmology practice and research · 2021Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rising prevalence of age-related eye diseases, particularly age-related macular degeneration, places an ever-increasing burden on health care providers. As new treatments emerge, it is necessary to develop methods for reliably assessing patients' disease status and stratifying risk of progression. The presence of drusen in the retina represents a key early feature in which size, number, and morphology are thought to correlate significantly with the risk of progression to sight-threatening age-related macular degeneration. Manual labeling of drusen on color fundus photographs by a human is labor intensive and is where automatic computerized detection would appreciably aid patient care. We review and evaluate current artificial intelligence methods and developments for the automated detection of drusen in the context of age-related macular degeneration.
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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.