AIMC Topic: Vision Disorders
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Predicting 60-4 visual field tests using 3D facial reconstruction.
The British journal of ophthalmology
Dec 18, 2023
BACKGROUND: Despite, the potential clinical utility of 60-4 visual fields, they are not frequently used in clinical practice partly, due to the purported impact of facial contour on field defects. The purpose of this study was to design and test an a...
Predicting glaucoma progression using deep learning framework guided by generative algorithm.
Scientific reports
Nov 15, 2023
Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness. To help patients receive customized treatment, predicting how quickly the disease will progress is important. Structural assessment using optical coherence tomog...
Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.
Journal of telemedicine and telecare
Mar 13, 2023
INTRODUCTION: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of ...
Text-to-image artificial intelligence to aid clinicians in perceiving unique neuro-ophthalmic visual phenomena.
Irish journal of medical science
Feb 14, 2023
What do individuals with visual impairment need and want from a dialogue-based digital assistant?
Clinical & experimental optometry
Jan 29, 2023
CLINICAL SIGNIFICANCE: Optometrists are well-placed to provide helpful advice and guidance to patients with visual impairment but may not know how best to do this. The availability of a reliable and comprehensive conversational agent to which patient...
Early detection of visual impairment in young children using a smartphone-based deep learning system.
Nature medicine
Jan 26, 2023
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and...
A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach.
Scientific reports
Jan 19, 2023
Glaucoma is a leading cause of irreversible blindness, and its worsening is most often monitored with visual field (VF) testing. Deep learning models (DLM) may help identify VF worsening consistently and reproducibly. In this study, we developed and ...
Prediction of Visual Impairment in Epiretinal Membrane and Feature Analysis: A Deep Learning Approach Using Optical Coherence Tomography.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 11, 2023
PURPOSE: The aim was to develop a deep learning model for predicting the extent of visual impairment in epiretinal membrane (ERM) using optical coherence tomography (OCT) images, and to analyze the associated features.
Deep learning model to identify homonymous defects on automated perimetry.
The British journal of ophthalmology
Aug 3, 2022
BACKGROUND: Homonymous visual field (VF) defects are usually an indicator of serious intracranial pathology but may be subtle and difficult to detect. Artificial intelligence (AI) models could play a key role in simplifying the detection of these def...
Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification.
BMJ open ophthalmology
May 23, 2022
OBJECTIVE: To train and validate a code-free deep learning system (CFDLS) on classifying high-resolution digital retroillumination images of posterior capsule opacification (PCO) and to discriminate between clinically significant and non-significant ...
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