ArticleFrontiers in psychology2021
Implementation and Application of an Intelligent Pterygium Diagnosis System Based on Deep Learning.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Large language models for primary care ophthalmic education: a systematic review.Frontiers in medicine · 2026Pooled it
- Artificial Intelligence for Diagnostic Guidance in Ocular Surface Disorders.Journal of clinical medicine · 2026Review
- Effective automatic classification methods via deep learning for multi-type infectious keratitis diagnosis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Artificial intelligence assisted simulation and surgical video analytics for ophthalmic surgery training and competence development.Frontiers in medicine · 2026Review
- Classification of ocular surface diseases: Deep learning for distinguishing ocular surface squamous neoplasia from pterygium.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Diagnostic accuracy of a deep learning model for pterygium detection in Barcelos, Brazilian Amazon.Arquivos brasileiros de oftalmologia · 2025Article
- A semantic segmentation-based automatic pterygium assessment and grading system.Frontiers in medicine · 2025Article
- A deep learning-assisted automatic measurement of tear meniscus height on ocular surface images and its application in myopia control.Frontiers in bioengineering and biotechnology · 2025Article
- Research progress in deep learning-based fundus image analysis for the diagnosis and prediction of hypertension-related diseases.Frontiers in cell and developmental biology · 2025Review
- A Performance Evaluation of Convolutional Neural Network Architectures for Pterygium Detection in Anterior Segment Eye Images.Diagnostics (Basel, Switzerland) · 2024Article
- DBPF-net: dual-branch structural feature extraction reinforcement network for ocular surface disease image classification.Frontiers in medicine · 2023Article
- Artificial intelligence-assisted diagnosis of ocular surface diseases.Frontiers in cell and developmental biology · 2023Review
- Artificial intelligence assisted pterygium diagnosis: current status and perspectives.International journal of ophthalmology · 2023Article
- Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023).International journal of ophthalmology · 2023Article
- Integration of Artificial Intelligence into the Approach for Diagnosis and Monitoring of Dry Eye Disease.Diagnostics (Basel, Switzerland) · 2022Review
- Application of a Deep Learning System in Pterygium Grading and Further Prediction of Recurrence with Slit Lamp Photographs.Diagnostics (Basel, Switzerland) · 2022Article
- Computer-Assisted Pterygium Screening System: A Review.Diagnostics (Basel, Switzerland) · 2022Review
- Systematic Bibliometric and Visualized Analysis of Research Hotspots and Trends on the Application of Artificial Intelligence in Ophthalmic Disease Diagnosis.Frontiers in pharmacology · 2022Article
- Advances in artificial intelligence applications for ocular surface diseases diagnosis.Frontiers in cell and developmental biology · 2022Review
- Application of artificial intelligence models for detecting the pterygium that requires surgical treatment based on anterior segment images.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.