ReviewProgress in retinal and eye research2021
Artificial intelligence in OCT angiography.
Review in Progress in retinal and eye research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.
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
61 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Recent advances and applications of optical coherence tomography angiography in diabetic retinopathy.Frontiers in endocrinology · 2025Pooled it
- Optical coherence tomography angiography in thyroid associated ophthalmopathy: a systematic review.BMC ophthalmology · 2024Pooled it
- Automated Volumetric Segmentation of Microaneurysms on OCT Using Artificial Intelligence.ArXiv · 2026Article
- Large Pigment Epithelial Detachments Associated With Type 1 Macular Neovascularization: Do Swept-Source OCT Angiography Devices Detect the Same Thing?Translational vision science & technology · 2026Article
- Clinically Explainable Disease Diagnosis Based on Biomarker Activation Map.IEEE transactions on bio-medical engineering · 2026Article
- Artificial intelligence based assessment of treatment response in wet age related macular degeneration using paired OCT angiography.Scientific reports · 2026Article
- Microglial polarization in retinal neovascularization: Friend or foe?Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Review
- Integrating genetics, age and imaging to predict treatment outcomes in neovascular age-related macular degeneration: a proof-of-concept study.Scientific reports · 2026Article
- Longitudinal Assessment of Vascularity in Actinic Keratosis Using Dynamic Optical Coherence Tomography: Practical Considerations and Theoretical Insights.Journal of biophotonics · 2026Article
- Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis.Progress in retinal and eye research · 2026Review
- Applications of Optical Coherence Tomography in Optic Nerve Head Diseases: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Hybrid attention-based deep learning for multi-label ophthalmic disease detection on fundus images.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Machine Learning-Based Analysis of Optical Coherence Tomography Angiography Images for Age-Related Macular Degeneration.Biomedicines · 2025Article
- Widefield OCT angiography.Progress in retinal and eye research · 2025Review
- Effect of disease duration on foveal microvasculature assessed by OCTA in type 2 diabetes mellitus without clinical diabetic retinopathy.International journal of retina and vitreous · 2025Article
- Artificial Intelligence in Glaucoma: Advances in Diagnosis, Progression Forecasting, and Surgical Outcome Prediction.International journal of molecular sciences · 2025Review
- Optical coherence tomography angiography in neovascular age-related macular degeneration: comprehensive review of advancements and future perspective.Eye (London, England) · 2025Review
- Advancing Diabetic Retinopathy Screening: A Systematic Review of Artificial Intelligence and Optical Coherence Tomography Angiography Innovations.Diagnostics (Basel, Switzerland) · 2025Review
- Advances in OCT Angiography.Translational vision science & technology · 2025Review
- Frontier applications of retinal nanomedicine: progress, challenges and perspectives.Journal of nanobiotechnology · 2025Review
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that provides three-dimensional, information-rich vascular images. With numerous studies demonstrating unique capabilities in biomarker quantification, diagnosis, and monitoring, OCTA technology has seen rapid adoption in research and clinical settings. The value of OCTA imaging is significantly enhanced by image analysis tools that provide rapid and accurate quantification of vascular features and pathology. Today, the most powerful image analysis methods are based on artificial intelligence (AI). While AI encompasses a large variety of techniques, machine-learning-based, and especially deep-learning-based, image analysis provides accurate measurements in a variety of contexts, including different diseases and regions of the eye. Here, we discuss the principles of both OCTA and AI that make their combination capable of answering new questions. We also review contemporary applications of AI in OCTA, which include accurate detection of pathologies such as choroidal neovascularization, precise quantification of retinal perfusion, and reliable disease diagnosis.
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.