AIMC Topic: Vision Disorders

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Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

American journal of ophthalmology Nov 12, 2019
PURPOSE: To compare the diagnostic performance of human gradings vs predictions provided by a machine-to-machine (M2M) deep learning (DL) algorithm trained to quantify retinal nerve fiber layer (RNFL) damage on fundus photographs.
Deep Learning ROC Curve Humans Vision Disorders Optic Nerve Diseases Algorithms Area Under Curve Retrospective Studies Photography Tomography, Optical Coherence Female Physical Examination Cross-Sectional Studies Aged Glaucoma, Open-Angle Intraocular Pressure Gonioscopy Male Middle Aged Fundus Oculi Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests
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Discrimination of the behavioural dynamics of visually impaired infants via deep learning.

Nature biomedical engineering Oct 21, 2019
Sensory loss is associated with behavioural changes, but how behavioural dynamics change when a sensory modality is impaired remains unclear. Here, by recording under a designed standardized scenario, the behavioural phenotypes of 4,196 infants who e...
Vision Disorders Sensation Behavior Persons with Visual Disabilities Female Humans Videotape Recording Male Machine Learning Infant Algorithms Deep Learning Phenotype Neuronal Plasticity
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Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.

Ophthalmology Sep 30, 2019
PURPOSE: To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain OCT (SD OCT) optic nerve head images.
Visual Fields Visual Field Tests Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Vision Disorders Predictive Value of Tests Nerve Fibers Optic Disk Retinal Ganglion Cells Adult Humans Male Middle Aged Glaucoma Deep Learning Female Aged
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Universal artificial intelligence platform for collaborative management of cataracts.

The British journal of ophthalmology Sep 2, 2019
PURPOSE: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficien...
ROC Curve Mass Screening Vision Disorders Area Under Curve Cataract Extraction Adult Male Middle Aged Adolescent Cataract Slit Lamp Microscopy Intersectoral Collaboration Humans Artificial Intelligence Female Aged Aged, 80 and over
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Artificial intelligence-assisted telemedicine platform for cataract screening and management: a potential model of care for global eye health.

The British journal of ophthalmology Sep 2, 2019
Mass Screening Vision Disorders Cataract Extraction Cataract Telemedicine Humans Artificial Intelligence
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Machine Learning in the Detection of the Glaucomatous Disc and Visual Field.

Seminars in ophthalmology May 27, 2019
Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of ...
Glaucoma Humans Machine Learning Visual Fields Diagnosis, Computer-Assisted Visual Field Tests Vision Disorders Optic Nerve Diseases Diagnostic Techniques, Ophthalmological
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Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.

PloS one Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Adult Brain Concussion Artificial Intelligence Male Dizziness Vision Disorders Humans Vestibular Diseases Retrospective Studies Postural Balance Diagnosis, Computer-Assisted Post-Concussion Syndrome Headache Female Adolescent Vestibule, Labyrinth Neuropsychological Tests Young Adult Cluster Analysis Sports
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System for Face Recognition under Different Facial Expressions Using a New Associative Hybrid Model Amαβ-KNN for People with Visual Impairment or Prosopagnosia.

Sensors (Basel, Switzerland) Jan 30, 2019
Face recognition is a natural skill that a child performs from the first days of life; unfortunately, there are people with visual or neurological problems that prevent the individual from performing the process visually. This work describes a system...
Prosopagnosia Biosensing Techniques Vision Disorders Facial Expression Facial Recognition Pattern Recognition, Visual Humans Artificial Intelligence Adult Male
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A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.

American journal of ophthalmology Jan 26, 2019
PURPOSE: To train a deep learning (DL) algorithm that quantifies glaucomatous neuroretinal damage on fundus photographs using the minimum rim width relative to Bruch membrane opening (BMO-MRW) from spectral-domain optical coherence tomography (SDOCT)...
Humans Algorithms Retrospective Studies Female Aged Visual Fields Bruch Membrane Male Area Under Curve Aged, 80 and over Visual Field Tests Middle Aged Cross-Sectional Studies Tomography, Optical Coherence Optic Nerve Diseases Deep Learning Intraocular Pressure Nerve Fibers Photography Vision Disorders Optic Disk Glaucoma, Open-Angle Retinal Ganglion Cells
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Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible?

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Dec 17, 2018
Diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of vision loss and blindness worldwide. They tend to be asymptomatic in the early phase of disease and therefore require active screening programs to identify the...
Reproducibility of Results Health Services Accessibility Humans Vision Disorders Diabetic Retinopathy Macular Degeneration Glaucoma Artificial Intelligence
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