AIMC Topic: Low Tension Glaucoma

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SMOTE-Enhanced Explainable Artificial Intelligence Model for Predicting Visual Field Progression in Myopic Normal Tension Glaucoma.

Journal of glaucoma Apr 21, 2025
PRCIS: The AI model, enhanced by SMOTE to balance data classes, accurately predicted visual field deterioration in patients with myopic normal tension glaucoma. Using SHAP analysis, the key variables driving disease progression were identified.
Male Middle Aged Disease Progression Myopia Female Aged Intraocular Pressure Visual Fields Visual Field Tests Tonometry, Ocular Low Tension Glaucoma ROC Curve Follow-Up Studies Vision Disorders Artificial Intelligence Retrospective Studies Humans
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Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects.

The British journal of ophthalmology Jun 20, 2024
BACKGROUND/AIMS: To assess the performance of deep-learning (DL) models for prediction of conversion to normal-tension glaucoma (NTG) in normotensive glaucoma suspect (GS) patients.
Humans Algorithms Retrospective Studies Male Middle Aged Disease Progression Deep Learning Female Aged Intraocular Pressure Visual Fields Ocular Hypertension Tonometry, Ocular Low Tension Glaucoma ROC Curve Nerve Fibers Follow-Up Studies Optic Disk Blood Pressure Retinal Ganglion Cells
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Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL.

Scientific reports Nov 4, 2020
We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch's membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learni...
Glaucoma, Open-Angle Bruch Membrane Low Tension Glaucoma Deep Learning ROC Curve Image Processing, Computer-Assisted Retina Diagnostic Techniques, Ophthalmological Area Under Curve Tomography, Optical Coherence Intraocular Pressure Male Middle Aged Humans Female Adult
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Development and validation of a machine learning, smartphone-based tonometer.

The British journal of ophthalmology Dec 23, 2019
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.
Machine Learning Tonometry, Ocular Female Male Low Tension Glaucoma Reproducibility of Results Humans Glaucoma, Open-Angle Middle Aged Aged Ocular Hypertension Pilot Projects Adult Glaucoma, Angle-Closure Smartphone Intraocular Pressure
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Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients.

Japanese journal of ophthalmology Dec 17, 2019
PURPOSE: To assess the performance of machine learning classifiers for prediction of progression of normal-tension glaucoma (NTG) in young myopic patients.
Machine Learning Female Young Adult Intraocular Pressure Male Adult Cross-Sectional Studies Humans Nerve Fibers Retinal Ganglion Cells ROC Curve Disease Progression Visual Fields Area Under Curve Myopia Visual Field Tests Tomography, Optical Coherence Diagnosis, Computer-Assisted Gonioscopy Slit Lamp Microscopy Low Tension Glaucoma
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Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma.

American journal of ophthalmology Oct 16, 2018
PURPOSE: To determine whether a machine learning technique called Kalman filtering (KF) can accurately forecast future values of mean deviation (MD), pattern standard deviation, and intraocular pressure for patients with normal tension glaucoma (NTG)...
Aged Forecasting Visual Field Tests Humans Low Tension Glaucoma Middle Aged Retrospective Studies Intraocular Pressure Japan Machine Learning Asian People Female Male Visual Fields Algorithms
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