AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
AR(1) provides superior pointwise prediction accuracy, particularly in advanced glaucoma, while HFA-MD predictions are generally comparable among AR(1), OLR, and exponential approaches.
Visual field testing is essential for detecting glaucomatous damage. Traditional approaches such as pointwise linear regression often fail to account for the spatial correlations and hierarchical structure among test locations. We propose a two-fold linear mixed model that incorporates both eye-level and within-eye clu...
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, is presented.
A model integrating corneal biomechanical parameters, genetic risk scores, and tear molecular biomarkers was developed to predict the risk of NTG progression and demonstrated potential clinical utility.
BACKGROUND/AIMS To determine whether baseline central visual field defect (CVFD) distribution and archetypal 10-2 patterns are associated with subsequent central visual field (VF) progression in glaucoma. METHODS This retrospective multicentre longitudinal cohort included 127 eyes of 94 adults with glaucoma, baseline...
Vision in this cohort was largely set by the state of the eye at diagnosis, and IOP control and pain relief therefore remain realistic goals even when sight cannot be saved.
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