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Hyperopia - AI Medical Compendium

AIMC Topic: Hyperopia

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Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.

Journal of refractive surgery (Thorofare, N.J. : 1995) Mar 1, 2025
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (f...
Deep Learning ROC Curve Male Myopia Keratomileusis, Laser In Situ Lasers, Excimer Hyperopia Tomography, Optical Coherence Photorefractive Keratectomy Neural Networks, Computer Algorithms Female Adult Humans
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Ocular biometric parameters in Chinese preschool children and physiological axial length growth prediction using machine learning algorithms: a retrospective cross-sectional study.

BMJ open Dec 20, 2024
OBJECTIVES: To examine the ocular biometric parameters and predict the annual growth rate of the physiological axial length (AL) in Chinese preschool children aged 4-6 years old.
Male Refraction, Ocular Female Cross-Sectional Studies Child, Preschool Child East Asian People Myopia China Humans Machine Learning Algorithms Retrospective Studies Hyperopia Biometry Axial Length, Eye
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Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence.

BMJ open ophthalmology Jul 5, 2024
OBJECTIVES: This study aimed to quantitatively evaluate optic nerve head and retinal vascular parameters in children with hyperopia in relation to age and spherical equivalent refraction (SER) using artificial intelligence (AI)-based analysis of colo...
Retinal Vessels Hyperopia Optic Disk Photography Refraction, Ocular Humans Child, Preschool Cross-Sectional Studies Visual Acuity Child Male Fundus Oculi Artificial Intelligence Female
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Myopia prediction for children and adolescents via time-aware deep learning.

Scientific reports Apr 3, 2023
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length historical vision records. From October 2019 to March 2022, we examined uncorrected visual acuity, sphere...
Hyperopia Myopia Treatment Outcome Deep Learning Cornea Astigmatism Refraction, Ocular Humans Adolescent Retrospective Studies Child
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Ocular Biometric Components in Hyperopic Children and a Machine Learning-Based Model to Predict Axial Length.

Translational vision science & technology May 1, 2024
PURPOSE: The purpose of this study was to investigate the development of optical biometric components in children with hyperopia, and apply a machine-learning model to predict axial length.
Anterior Chamber Humans Axial Length, Eye Hyperopia Cornea Child Male Machine Learning Refraction, Ocular Biometry Female Child, Preschool
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