A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation - Takeaways - MDSpire

A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation

  • By

  • Yichuan G. Liang

  • Leo Fan

  • Armando Teixeira-Pinto

  • Gerald Liew

  • Andrew J. R. White

  • January 22, 2026

  • 0 min

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  • 1

    Glaucoma is the leading cause of irreversible blindness, with an estimated 111 million affected individuals by 2040.

  • 2

    AI has shown promise in predicting glaucoma progression, but challenges remain due to heterogeneous definitions and prediction difficulties.

  • 3

    Current AI models for glaucoma progression prediction have made significant advancements, nearing the performance of diagnostic models.

  • 4

    The systematic review assessed 46 studies, highlighting the need for improved transparency, integration, and reporting in AI applications.

  • 5

    Recommendations were provided to enhance the clinical implementation of AI tools for glaucoma progression forecasting.

Original Source(s)

A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation

  • by Yichuan G. Liang, Leo Fan, Armando Teixeira-Pinto, Gerald Liew, Andrew J. R. White

  • January 22, 2026

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