Advancement of cataract classification with artificial intelligence using anterior segment optical coherence tomography images with self-supervised vision transformer

Key Points

• Cataract classification accuracy improved with artificial intelligence technologies like vision transformers.
• AI-enhanced assessment showed notable precision, with self-supervised learning techniques driving the analysis.
• Observational analysis using anterior segment optical coherence tomography images provided valuable insights.
• The findings suggest that AI may enable more effective cataract diagnosis, prompting further exploration in clinical settings.