AIMC Topic: Tonometry, Ocular

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Predictions of ocular changes caused by diabetes in glaucoma patients.

Computer methods and programs in biomedicine Nov 15, 2017
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated ...
Male Aged Middle Aged Intraocular Pressure Disease Progression Neural Networks, Computer Diabetes Complications Humans Female Age Factors Glaucoma, Open-Angle Probability Tomography, Optical Coherence Visual Fields Tonometry, Ocular Glycated Hemoglobin
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Prediction of perimetric progression in ocular hypertension and open angle glaucoma based on corneal biomechanics.

European journal of ophthalmology Nov 1, 2025
PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression in patients with ocular hypertension (OHT) or early primary open-angle glaucoma (POAG), using Goldmann applanation tonometry intraocular pressure (IOP...
Visual Fields Visual Field Tests Cornea Male Disease Progression Intraocular Pressure Aged Humans Follow-Up Studies Middle Aged Corneal Pachymetry Glaucoma, Open-Angle Biomechanical Phenomena Female Tonometry, Ocular Ocular Hypertension
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Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in Patients With Ocular Hypertension.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: Techniques that properly identify patients in whom ocular hypertension (OHTN) is likely to progress to open-angle glaucoma can assist clinicians with deciding on the frequency of monitoring and the potential benefit of early treatment.
Diagnosis, Computer-Assisted Cohort Studies Male Middle Aged Glaucoma, Open-Angle Ocular Hypertension Tonometry, Ocular Visual Fields Visual Field Tests Female Reproducibility of Results Aged Intraocular Pressure Humans Algorithms Machine Learning Forecasting
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Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progres...
Nerve Fibers Optic Disk Principal Component Analysis Tomography, Optical Coherence Optic Nerve Diseases Glaucoma, Open-Angle Tonometry, Ocular Retinal Ganglion Cells Visual Field Tests Male Middle Aged Disease Progression Unsupervised Machine Learning Adult Intraocular Pressure Humans Female Retrospective Studies Aged
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