AI Supports Glaucoma Surgical Planning - Summary - MDSpire
From the Journals

AI Supports Glaucoma Surgical Planning

Predictive models identify high-risk patients and support earlier treatment decisions.

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Artificial intelligence (AI) models have demonstrated remarkable diagnostic accuracy in glaucoma, achieving a pooled area under the curve (AUC) of 0.93 in a comprehensive meta-analysis. Research spanning from 2010 to 2025, involving over 75,000 images and 10,000 patients, highlighted AI's ability to predict visual field deterioration years ahead and enhance surgical decision-making. Multimodal models that integrate various imaging techniques showed superior accuracy compared to single-modality systems. Despite moderate to high methodological quality, challenges such as retrospective designs and variable reporting persist. Lead author Vidhya Verma emphasizes AI's role in transforming individualized glaucoma care.

Original Source(s)

AI Supports Glaucoma Surgical Planning

  • by Kathryn Wighton

  • April 16, 2026

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