ReviewInternational journal of molecular sciences2025
Artificial Intelligence in Glaucoma: Advances in Diagnosis, Progression Forecasting, and Surgical Outcome Prediction.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Teleophthalmology and Teleglaucoma in Clinical Practice: Attitudes of Ophthalmologists in Bulgaria.Healthcare (Basel, Switzerland) · 2026Article
- Resting-state and task-state fNIRS fusion assessment method for upper limb motor function in stroke patients.Journal of neuroengineering and rehabilitation · 2026Article
- A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening.Scientific reports · 2026Article
- Unveiling Systemic Biomarkers and Metabolic Mechanisms in Glaucoma Progression from Multi-Omics Insights.International journal of molecular sciences · 2026Article
- Juvenile open-angle glaucoma: a clinicopathological update and review.International ophthalmology · 2026Review
- Artificial intelligence in glaucoma diagnosis and management: Has its time come?Indian journal of ophthalmology · 2026Article
- Visual Field Progression in Childhood Glaucoma Versus Open-Angle Glaucoma: A Retrospective Comparative Study.Journal of clinical medicine · 2026Article
- Neovascular glaucoma: pathophysiology, diagnosis, and contemporary management.Frontiers in medicine · 2026Review
- Glaucoma Research in Transition: Mechanistic Insights, Novel Therapies, and Digital Frontiers.Biomedicines · 2025Article
- Clinical Assessment of a Virtual Reality Perimeter Versus the Humphrey Field Analyzer: Comparative Reliability, Usability, and Prospective Applications.Vision (Basel, Switzerland) · 2025Article
- Exploring Molecular and Clinical Dimensions of Glaucoma as a Neurodegenerative Disease.International journal of molecular sciences · 2025Article
- Augmented Decisions: AI-Enhanced Accuracy in Glaucoma Diagnosis and Treatment.Journal of clinical medicine · 2025Review
- Artificial Intelligence in Ophthalmology: Acceptance, Clinical Integration, and Educational Needs in Switzerland.Journal of clinical medicine · 2025Article
- Two Machine Learning Models to Economize Glaucoma Screening Programs: An Approach Based on Neural Nets.Journal of personalized medicine · 2025Article
- Assessment of Retinal Microcirculation in Primary Open-Angle Glaucoma Using Adaptive Optics and OCT Angiography: Correlation with Structural and Functional Damage.Journal of clinical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Glaucoma is a leading cause of irreversible blindness, with challenges persisting in early diagnosis, disease progression, and surgical outcome prediction. Recent advances in artificial intelligence have enabled significant progress by extracting clinically relevant patterns from structural, functional, and molecular data. This review outlines the current applications of artificial intelligence in glaucoma care, including early detection using fundus photography and OCT and disease progression prediction using deep learning architectures such as convolutional neural networks, recurrent neural networks, transformer models, generative adversarial networks, and autoencoders. Surgical outcome forecasting has been enhanced through multimodal models that integrate electronic health records and imaging data. We also highlight emerging AI applications in omics analysis, including transcriptomics and metabolomics, for biomarker discovery and individualized risk stratification. Despite these advances, key challenges remain in interpretability, integration of heterogeneous data, and the lack of personalized surgical timing guidance. Future work should focus on transparent, generalizable, and multimodal AI models, supported by large, well-curated datasets, to advance precision medicine in glaucoma.
Indexed as
Identifiers
What Socratic 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 Socratic graph.