Detecting glaucoma before vision loss: the early indicators, imaging technologies, and the role of AI

Optical coherence tomography and AI are revolutionizing early glaucoma detection by identifying structural changes 3-7 years before vision loss occurs. Key early indicators include neuroretinal rim thinning and retinal nerve fiber layer defects, particularly in inferior and superior temporal regions. AI algorithms can analyze optic disc photos and OCT data to predict which patients will develop visual field loss and progress rapidly, shifting from binary diagnosis to risk-based assessment. However, challenges remain with false positives from normal anatomical variations like split nerve fiber bundles and myopic changes. Clinicians must integrate multiple parameters including intraocular pressure, optic nerve examination, and thickness maps rather than relying on single measurements. Early detection significantly improves long-term patient outcomes by enabling treatment before irreversible vision loss begins. https://europe.ophthalmologytimes.com/view/detecting-glaucoma-pre-vision-loss-ai-indicators-imaging