Abstract
Glaucoma is the leading cause of irreversible blindness, and timely identification of fast progressors is essential to prevent disability. Current practice estimates progression by ordinary least-squares regression of mean deviation (MD) on time, requiring 6--10 visual field (VF) tests over several years to obtain a reliable slope. We present GLAM (Glaucoma Longitudinal Analysis Model), a deep learning framework that ingests longitudinal Humphrey 24-2 total deviation sequences with five clinical features and predicts MD and visual field index progression rates using attention-based fusion and aleatoric uncertainty. On the open-access University of Washington Humphrey Visual Field dataset (4,276 patient-eyes), GLAM achieved an MD-rate mean absolute error of 0.139 dB yr$^{-1}$ ($R^2 = 0.927$; 73.5% reduction over a ridge baseline) and an AUC of 0.990 for fast-progressor detection. VF-only deep learning can match multimodal pipelines for progression prognostication using routinely collected perimetry alone.
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Cite this article
APA 7
Rahman, T., Rahman, S., Moniruzzaman, M., Kawsar, U., Ratna, S., Siddique, S., Siddique, R., Ahmad, T., Ahmad, T., & Rabbani, G. (2026). Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors. https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors
MLA 9
Rahman, Taiabur, et al. "Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors." https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors.
Chicago (author–date)
Rahman, Taiabur, Siddiqur Rahman, Muhammad Moniruzzaman, Ummay Kawsar, Sayedatunnessa Ratna, Shadman Siddique, Rafsan Siddique, Tausif Ahmad, Tahsin Ahmad, and Golam Rabbani. 2026. "Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors." https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors.
Harvard
Rahman, T., Rahman, S., Moniruzzaman, M., Kawsar, U., Ratna, S., Siddique, S., Siddique, R., Ahmad, T., Ahmad, T. and Rabbani, G. (2026) 'Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors', Available at: https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors.
Vancouver
Rahman T, Rahman S, Moniruzzaman M, Kawsar U, Ratna S, Siddique S, et al. Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors. https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors
IEEE
T. Rahman, S. Rahman, M. Moniruzzaman, U. Kawsar, S. Ratna, S. Siddique, R. Siddique, T. Ahmad, T. Ahmad, and G. Rabbani, "Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors," https://omanscience.com/en/articles/deep-learning-of-longitudinal-visual-fields-predicts-glaucoma-progression-rate-and-identifies-fast-progressors.