AIMC Topic: Refractive Errors

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Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood.

PloS one Jul 10, 2025
PURPOSE: To develop an ensemble machine learning prediction model for clinical refraction in childhood using partial interferometry measurements.
Retrospective Studies Female Male Humans Machine Learning Adolescent Child, Preschool Refraction, Ocular Child Myopia Interferometry Refractive Errors
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Artificial intelligence in the diagnosis and management of refractive errors.

European journal of ophthalmology Apr 13, 2025
Refractive error is among the leading causes of visual impairment globally. The diagnosis and management of refractive error has traditionally relied on comprehensive eye examinations by eye care professionals, but access to these specialized service...
Disease Management Refraction, Ocular Refractive Errors Artificial Intelligence Humans Algorithms
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Prescription eyeglasses as a forensic physical evidence: Prediction of age based on refractive error measures using machine learning algorithm.

Journal of forensic sciences Feb 23, 2024
Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical studies demonstrated age-related changes in human eyes. We hypothesized that the binocular RE metrics including sphere and cylinder power, axis orien...
Child, Preschool Humans Child Machine Learning Forensic Sciences Linear Models Middle Aged Algorithms Adult Eyeglasses Male Aged, 80 and over Refractive Errors Aging Young Adult Adolescent Female Aged
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The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes: a systematic review and network meta-analysis.

Frontiers in public health Nov 9, 2023
OBJECTIVE: To systematically compare and rank the accuracy of AI-based intraocular lens (IOL) power calculation formulas and traditional IOL formulas in highly myopic eyes.
Network Meta-Analysis Myopia Refractive Errors Adult Humans Refraction, Ocular Artificial Intelligence Lenses, Intraocular Retrospective Studies
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Deep learning for predicting refractive error from multiple photorefraction images.

Biomedical engineering online Aug 8, 2022
BACKGROUND: Refractive error detection is a significant factor in preventing the development of myopia. To improve the efficiency and accuracy of refractive error detection, a refractive error detection network (REDNet) is proposed that combines the ...
Myopia Humans Refractive Errors Neural Networks, Computer Deep Learning Refraction, Ocular
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Automatic Segment and Quantify Choroid Layer in Myopic eyes: Deep Learning based Model.

Seminars in ophthalmology Feb 9, 2022
PURPOSE: To report a rapid and accurate method based upon deep learning for automatic segmentation and measurement of the choroidal thickness (CT) in myopic eyes, and to determine the relationship between refractive error (RE) and CT.
Humans Retrospective Studies Myopia Choroid Tomography, Optical Coherence Refractive Errors Deep Learning
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Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.

Eye (London, England) Oct 5, 2021
BACKGROUND/OBJECTIVES: This study aimed to evaluate a deep learning model for estimating uncorrected refractive error using posterior segment optical coherence tomography (OCT) images.
Refractive Errors Humans Deep Learning Retrospective Studies Tomography, Optical Coherence Myopia
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Corneal Topography Raw Data Classification Using a Convolutional Neural Network.

American journal of ophthalmology Jun 10, 2020
PURPOSE: We investigated the efficiency of a convolutional neural network applied to corneal topography raw data to classify examinations of 3 categories: normal, keratoconus (KC), and history of refractive surgery (RS).
Adult Sensitivity and Specificity Male Retrospective Studies Female Reproducibility of Results Corneal Topography Humans Middle Aged Refractive Surgical Procedures Healthy Volunteers Neural Networks, Computer Refractive Errors Corneal Pachymetry Keratoconus Machine Learning
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[Advancements in machine learning applications in refractive surgery].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Apr 11, 2025
Refractive error is a significant factor contributing to visual impairment, imposing a relatively large burden on the social economy. Although refractive surgery is an important corrective method, it faces challenges in clinical practice, such as pre...
Refractive Errors Refractive Surgical Procedures Humans Machine Learning
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Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology Aug 1, 2024
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.
Students Refraction, Ocular Myopia Female Cross-Sectional Studies Male Adolescent Child, Preschool Child ROC Curve Refractive Errors Prevalence China Mydriatics East Asian People Area Under Curve Humans Biometry Machine Learning
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