AIMC Topic: Vision Disorders

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Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.

JAMA network open Nov 1, 2021
IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owi...
Artificial Intelligence Prospective Studies Female Aged Aged, 80 and over Humans Middle Aged Diabetic Retinopathy Adolescent Vision Disorders Young Adult Referral and Consultation Reference Standards Vision Screening Adult Sensitivity and Specificity Cross-Sectional Studies Male
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Visual Field Tests Optic Nerve Diseases Glaucoma, Open-Angle Intraocular Pressure Male Middle Aged ROC Curve Vision Disorders Multimodal Imaging Area Under Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Visual Fields Algorithms Female Aged Adult Cross-Sectional Studies Humans Machine Learning
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Preictal state detection using prodromal symptoms: A machine learning approach.

Epilepsia Jan 19, 2021
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML...
Middle Aged Speech Surveys and Questionnaires Support Vector Machine Vision Disorders Machine Learning Female Young Adult Adult Male Video Recording Tinnitus Affect Comprehension Hearing Loss Reading Noise Area Under Curve Electroencephalography Seizures Attention Humans Drug Resistant Epilepsy Prodromal Symptoms Photophobia
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Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images.

The British journal of ophthalmology Dec 21, 2020
BACKGROUND/AIMS: To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions in high myopia patients based on optical coherence tomography (OCT) macular images.
Humans Artificial Intelligence Prospective Studies Cross-Sectional Studies Myopia Deep Learning Vision Disorders Tomography, Optical Coherence Retina
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Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Axial Length, Eye Humans Visual Field Tests Retrospective Studies Optic Nerve Diseases Female Glaucoma, Open-Angle Aged Gonioscopy Adult Slit Lamp Microscopy Sensitivity and Specificity Deep Learning Cross-Sectional Studies Visual Acuity Intraocular Pressure Vision Disorders Male Tomography, Optical Coherence Middle Aged Visual Fields
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Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.

Ophthalmology Mar 10, 2020
PURPOSE: To develop an artificial intelligence (AI) dashboard for monitoring glaucomatous functional loss.
Humans Glaucoma Artificial Intelligence Retrospective Studies Female Aged Adult Sensitivity and Specificity Optic Nerve Diseases Visual Acuity Vision Disorders Predictive Value of Tests Visual Fields False Negative Reactions Cross-Sectional Studies Male Middle Aged Longitudinal Studies Monitoring, Physiologic
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Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open Feb 17, 2020
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...
Asia Amblyopia Vision Screening Europe Multicenter Studies as Topic Vision Disorders Cost-Benefit Analysis Clinical Trials as Topic Adolescent Child, Preschool Child Smartphone Humans United States Artificial Intelligence Infant
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Semantic and structural image segmentation for prosthetic vision.

PloS one Jan 29, 2020
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color ...
Young Adult Adult Male Middle Aged Image Processing, Computer-Assisted Humans Artificial Intelligence Computer Simulation Female Vision Disorders Visual Perception Healthy Volunteers Psychophysics Semantics Phosphenes Photic Stimulation Visual Prosthesis
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Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma.

Ophthalmology Dec 12, 2019
PURPOSE: To quantify the central visual field (VF) loss patterns in glaucoma using artificial intelligence.
Vision Disorders Bayes Theorem Visual Fields Aged Visual Field Tests Cross-Sectional Studies Intraocular Pressure Male Middle Aged Humans Glaucoma Artificial Intelligence Retrospective Studies Female
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Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments.

International journal of health geographics Dec 11, 2019
BACKGROUND: Considerable number of indoor navigation systems has been proposed to augment people with visual impairments (VI) about their surroundings. These systems leverage several technologies, such as computer-vision, Bluetooth low energy (BLE), ...
Spatial Navigation Humans Artificial Intelligence Deep Learning Vision Disorders Pattern Recognition, Automated Photic Stimulation Wireless Technology
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