AIMC Topic: Intraocular Pressure

Clear Filters Showing 91 to 100 of 122 articles

Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Transfer, Psychology Glaucoma, Open-Angle Gonioscopy Datasets as Topic Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Humans Glaucoma Female Reproducibility of Results Male Aged Middle Aged Adult Deep Learning Sensitivity and Specificity ROC Curve Intraocular Pressure Area Under Curve Tomography, Optical Coherence
View on PubMed DOI

Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.

American journal of ophthalmology Jul 25, 2018
PURPOSE: To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volume changes contain information complementary to intraocular pressure (IOP) to discriminate between primary open-angle glaucoma (POAG) and healthy (H) ...
Humans Machine Learning Prospective Studies Female Aged Adult Intraocular Pressure Male Middle Aged Contact Lenses Tonometry, Ocular ROC Curve Area Under Curve Monitoring, Ambulatory Telemetry Glaucoma, Open-Angle
View on PubMed DOI

Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.

American journal of ophthalmology Jun 18, 2018
PURPOSE: Global indices of standard automated perimerty are insensitive to localized losses, while point-wise indices are sensitive but highly variable. Region-wise indices sit in between. This study introduces a machine learning-based index for glau...
Tonometry, Ocular Gonioscopy Follow-Up Studies Vision Disorders Visual Fields Visual Field Tests Glaucoma, Open-Angle Intraocular Pressure Male Middle Aged Disease Progression Diagnosis, Computer-Assisted Humans Machine Learning Female Aged Cross-Sectional Studies
View on PubMed DOI

Evaluation of CNTNAP2 gene rs2107856 polymorphism in Turkish population with pseudoexfoliation syndrome.

International ophthalmology Dec 19, 2017
PURPOSE: To investigate rs2107856 single-nucleotide polymorphism (SNP) of CNTNAP2 gene in Turkish population with pseudoexfoliation and to correlate clinical characteristics with the genotypic profile.
Cross-Sectional Studies Intraocular Pressure Humans Male Genotype Prospective Studies Middle Aged Membrane Proteins Incidence Nerve Tissue Proteins DNA Visual Acuity Turkey Tomography, Optical Coherence Female Retinal Ganglion Cells Aged Polymerase Chain Reaction Aged, 80 and over Polymorphism, Genetic Exfoliation Syndrome
View on PubMed DOI

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 Tonometry, Ocular Humans Glycated Hemoglobin Middle Aged Neural Networks, Computer Probability Disease Progression Female Visual Fields Age Factors Aged Diabetes Complications Tomography, Optical Coherence Intraocular Pressure Glaucoma, Open-Angle
View on PubMed DOI

Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.

Investigative ophthalmology & visual science Jan 2, 2025
PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in corneal transplantation over the past two decades. This study aims to identify predisposing risk factors for post-DMEK ocular hypertension (OHT) and develop...
Humans Artificial Intelligence Machine Learning Retrospective Studies Female Risk Factors Middle Aged Aged Postoperative Complications Aged, 80 and over ROC Curve Intraocular Pressure Visual Acuity Male Ocular Hypertension Descemet Stripping Endothelial Keratoplasty
View on PubMed DOI

[Primary angle closure suspects: application of machine learning method for substantiation of close monitoring].

Vestnik oftalmologii Jan 1, 2025
UNLABELLED: One of the priority areas in healthcare is the concept of predictive, preventive and personalized medicine, which is based on an individualized approach to the patient, including before the onset of diseases such as glaucoma.
Iridectomy Male Middle Aged Tomography, Optical Coherence Glaucoma, Angle-Closure Lens Implantation, Intraocular Humans Machine Learning Prospective Studies Female Aged Intraocular Pressure
View on PubMed DOI

Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Investigative ophthalmology & visual science Sep 3, 2024
PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).
Biomarkers Female Aged Intraocular Pressure Male Humans Neural Networks, Computer Prospective Studies Optic Disk Retinal Ganglion Cells Visual Fields Glaucoma, Open-Angle Middle Aged ROC Curve Area Under Curve Tomography, Optical Coherence Nerve Fibers
View on PubMed DOI

Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

Translational vision science & technology Sep 3, 2024
PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements and the disc damage likelihood scale (DDLS) to measure the rate of optic disc rim loss in a large cohort of glaucoma patients.
Humans Neural Networks, Computer Optic Disk Visual Fields Visual Field Tests Optic Nerve Diseases Intraocular Pressure Photography Male Middle Aged Disease Progression ROC Curve Glaucoma Retrospective Studies Female Aged Adult
View on PubMed DOI

Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.

Translational vision science & technology Jun 3, 2024
PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pressure, use of ocular antihypertensive medications, and need for repeat surgery.
Treatment Outcome Antihypertensive Agents Glaucoma Machine Learning Retrospective Studies Electronic Health Records Female Aged Intraocular Pressure Male Middle Aged Deep Learning ROC Curve Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals