AIMC Topic: Intraocular Pressure

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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Middle Aged Severity of Illness Index Deep Learning Cross-Sectional Studies Intraocular Pressure Male Visual Fields Visual Field Tests Ophthalmoscopes Microscopy, Confocal Vision Disorders Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Glaucoma
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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...
Male Middle Aged Disease Progression Aged Adult Intraocular Pressure Nerve Fibers Optic Disk Retinal Ganglion Cells Unsupervised Machine Learning Principal Component Analysis Tomography, Optical Coherence Humans Retrospective Studies Female Tonometry, Ocular Visual Field Tests Optic Nerve Diseases Glaucoma, Open-Angle
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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...
Visual Fields Glaucoma, Open-Angle Ocular Hypertension Tomography, Optical Coherence Reproducibility of Results Humans Nerve Fibers Intraocular Pressure Retinal Ganglion Cells Neural Networks, Computer Machine Learning
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Intraoperative Management of Increased Intraocular Pressure in a Patient with Glaucoma Undergoing Robotic Prostatectomy in Trendelenburg Position.

A & A case reports Jan 15, 2016
Laparoscopy Head-Down Tilt Intraocular Pressure Prostatectomy Male Humans Robotics Glaucoma
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Neural Network Analysis of Different Segmentation Strategies of Nerve Fiber Layer Assessment for Glaucoma Diagnosis.

Journal of glaucoma Dec 1, 2015
PURPOSE: To compare the diagnostic performance of different segmentations of the nerve fiber layer (NFL) thickness measurements using an artificial neural network and to define the optimal number of sectors with best diagnostic ability for glaucoma d...
Intraocular Pressure Male Middle Aged ROC Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Female Humans Aged Neural Networks, Computer Cross-Sectional Studies Glaucoma
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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.
Diagnosis, Differential Aged Humans Predictive Value of Tests Adult Cross-Sectional Studies Glaucoma Diagnostic Techniques, Ophthalmological Neural Networks, Computer Tomography, Optical Coherence Sensitivity and Specificity Intraocular Pressure Female Glaucoma, Open-Angle Middle Aged Nerve Fibers Male Risk Factors Ocular Hypertension Refractive Errors Retinal Ganglion Cells Visual Acuity Multivariate Analysis
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