AIMC Topic: Ocular Hypertension

Clear Filters Showing 11 to 15 of 15 articles

Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.

JAMA ophthalmology Apr 1, 2022
IMPORTANCE: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the cost and improve the efficiency of reading center assessment of end points in clinical trials.
Male Middle Aged Female Intraocular Pressure Optic Nerve Diseases Glaucoma, Open-Angle Ocular Hypertension Deep Learning Visual Field Tests Humans Glaucoma
View on PubMed DOI

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.
Reproducibility of Results Aged Forecasting Female Middle Aged Diagnosis, Computer-Assisted Intraocular Pressure Male Humans Ocular Hypertension Machine Learning Tonometry, Ocular Algorithms Visual Field Tests Glaucoma, Open-Angle Cohort Studies Visual Fields
View on PubMed DOI

Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects.

Journal of glaucoma Dec 1, 2017
PURPOSE: Existing summary statistics based upon optical coherence tomographic (OCT) scans and/or visual fields (VFs) are suboptimal for distinguishing between healthy and glaucomatous eyes in the clinic. This study evaluates the extent to which a hyb...
Ocular Hypertension Humans Tomography, Optical Coherence Reproducibility of Results Visual Fields Nerve Fibers Intraocular Pressure Retinal Ganglion Cells Glaucoma, Open-Angle Neural Networks, Computer Machine Learning
View on PubMed DOI

Conditional asymptotic inference for the kernel association test.

Bioinformatics (Oxford, England) Dec 1, 2017
MOTIVATION: The kernel association test (KAT) is popular in biological studies for its ability to combine weak effects potentially of opposite direction. Its P-value is typically assessed via its (unconditional) asymptotic distribution. However, such...
Ocular Hypertension Machine Learning Genotype Humans
View on PubMed DOI

Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Ocular Hypertension Retinal Ganglion Cells Multivariate Analysis Male Tomography, Optical Coherence Middle Aged Risk Factors Nerve Fibers Aged Cross-Sectional Studies Adult Intraocular Pressure Diagnosis, Differential Humans Glaucoma Sensitivity and Specificity Predictive Value of Tests Refractive Errors Neural Networks, Computer Female Visual Acuity
View on PubMed DOI
Popular Topics
Recent Journals