AIMC Topic: Visual Acuity

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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

Translational vision science & technology Sep 3, 2024
PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
Indocyanine Green Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Retrospective Studies Female Aged Aged, 80 and over Humans Middle Aged Male Machine Learning ROC Curve Angiogenesis Inhibitors Visual Acuity Tomography, Optical Coherence
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ARTIFICIAL INTELLIGENCE-ENHANCED ANALYSIS OF RETINAL VASCULATURE IN AGE-RELATED MACULAR DEGENERATION.

Retina (Philadelphia, Pa.) Sep 1, 2024
PURPOSE: To investigate associations between quantitative vascular measurements derived from intravenous fluorescein angiography (IVFA) and baseline characteristics on optical coherence tomography (OCT) in neovascular age-related macular degeneration...
Humans Artificial Intelligence Prospective Studies Female Aged Fundus Oculi Aged, 80 and over Fluorescein Angiography Male Wet Macular Degeneration Middle Aged Retinal Vessels Visual Acuity Blood-Retinal Barrier Tomography, Optical Coherence
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Predicting intraocular lens tilt using a machine learning concept.

Journal of cataract and refractive surgery Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Visual Acuity Tomography, Optical Coherence Phacoemulsification Biometry Pseudophakia Aged Male Middle Aged Refraction, Ocular Lenses, Intraocular Lens Implantation, Intraocular Artificial Lens Implant Migration Humans Machine Learning Prospective Studies Female
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DEEP LEARNING FOR AUTOMATIC PREDICTION OF EARLY ACTIVATION OF TREATMENT-NAIVE NONEXUDATIVE MACULAR NEOVASCULARIZATIONS IN AGE-RELATED MACULAR DEGENERATION.

Retina (Philadelphia, Pa.) Aug 1, 2024
BACKGROUND: Around 30% of nonexudative macular neovascularizations exudate within 2 years from diagnosis in patients with age-related macular degeneration. The aim of this study is to develop a deep learning classifier based on optical coherence tomo...
Aged Aged, 80 and over Male Deep Learning Follow-Up Studies Humans Retrospective Studies Female Macula Lutea Wet Macular Degeneration Retinal Neovascularization Visual Acuity Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography
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Forecasting Myopic Maculopathy Risk Over a Decade: Development and Validation of an Interpretable Machine Learning Algorithm.

Investigative ophthalmology & visual science Jun 3, 2024
PURPOSE: The purpose of this study was to develop and validate prediction model for myopic macular degeneration (MMD) progression in patients with high myopia.
Middle Aged Risk Assessment Disease Progression Risk Factors Adolescent Follow-Up Studies Humans Aged Child Visual Acuity Machine Learning Young Adult Tomography, Optical Coherence Algorithms Adult Macular Degeneration Forecasting Male Myopia, Degenerative Female
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Using natural language processing to link patients' narratives to visual capabilities and sentiments.

Optometry and vision science : official publication of the American Academy of Optometry Jun 1, 2024
SIGNIFICANCE: Analyzing narratives in patients' medical records using a framework that combines natural language processing (NLP) and machine learning may help uncover the underlying patterns of patients' visual capabilities and challenges that they ...
Machine Learning Female Aged Male Middle Aged Narration Visual Acuity Natural Language Processing Activities of Daily Living Vision, Low Humans
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Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques.

Translational vision science & technology May 1, 2024
PURPOSE: This study aimed to develop artificial intelligence models for predicting postoperative functional outcomes in patients with rhegmatogenous retinal detachment (RRD).
Treatment Outcome Aged Retinal Detachment Humans Visual Acuity Artificial Intelligence Adult Tomography, Optical Coherence Male Retrospective Studies Endotamponade Female Middle Aged Vitrectomy Deep Learning
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Integrating Machine Learning and Traditional Survival Analysis to Identify Key Predictors of Foveal Involvement in Geographic Atrophy.

Investigative ophthalmology & visual science May 1, 2024
PURPOSE: The purpose of this study was to investigate the incidence of foveal involvement in geographic atrophy (GA) secondary to age-related macular degeneration (AMD), using machine learning to assess the importance of risk factors.
Incidence Humans Follow-Up Studies Fluorescein Angiography Machine Learning Risk Factors Fovea Centralis Visual Acuity Retrospective Studies Geographic Atrophy Aged Female Tomography, Optical Coherence Survival Analysis Aged, 80 and over Male Middle Aged
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VAULT: vault accuracy using deep learning technology: new image-based artificial intelligence model for predicting implantable collamer lens postoperative vault.

Journal of cataract and refractive surgery May 1, 2024
PURPOSE: To develop an accurate deep learning model to predict postoperative vault of phakic implantable collamer lenses (ICLs).
Visual Acuity Postoperative Period Lens Implantation, Intraocular Phakic Intraocular Lenses Male Artificial Intelligence Middle Aged Humans Retrospective Studies Myopia Neural Networks, Computer Female Deep Learning Young Adult Adult
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A neural network model for predicting the effectiveness of treatment in patients with neovascular glaucoma associated with diabetes mellitus.

Romanian journal of ophthalmology Jan 1, 2024
INTRODUCTION: The study hypothesizes that neural networks can be an effective tool for predicting treatment outcomes in patients with diabetic neovascular glaucoma (NVG), considering not only baseline intraocular pressure (IOP) values but also inflam...
Treatment Outcome Follow-Up Studies Visual Acuity Laser Coagulation Ciliary Body Glaucoma, Neovascular Female Aged Intraocular Pressure Male Middle Aged Humans Diabetic Retinopathy Neural Networks, Computer Retrospective Studies
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