AIMC Topic: Keratoconus

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Artificial intelligence versus conventional methods for RGP lens fitting in keratoconus.

Contact lens & anterior eye : the journal of the British Contact Lens Association Nov 4, 2024
BACKGROUND: To compare the efficiency of three artificial intelligence (AI) frameworks (Standard Machine Learning (ML), Multi-Layer Perceptron (MLP) and Convolution Neural Networks (CNN)) with a reference method (Mean radius of curvature (K)) to pred...
Adult Cornea Male Female Young Adult Corneal Topography Contact Lenses Prosthesis Fitting Middle Aged Humans Adolescent Neural Networks, Computer Keratoconus Artificial Intelligence Retrospective Studies
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Machine Learning-Based Identification of Risk Factors of Keratoconus Progression Using Raw Corneal Tomography Data.

Cornea Aug 20, 2024
PURPOSE: The purpose of this study was to identify early indicators of keratoconus progression in Pentacam data using machine learning (ML) techniques.
Humans Machine Learning Retrospective Studies Adult Cornea Male Female Risk Factors Young Adult Corneal Topography Tomography Adolescent ROC Curve Keratoconus Middle Aged Disease Progression
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Deep Learning Models Used in the Diagnostic Workup of Keratoconus: A Systematic Review and Exploratory Meta-Analysis.

Cornea Feb 1, 2024
PURPOSE: The prevalence of keratoconus in the general population is reported to be up to 1 of 84. Over the past 2 decades, diagnosis and management evolved rapidly, but keratoconus screening in clinical practice is still challenging and asks for impr...
Keratoconus Corneal Topography Humans Algorithms Deep Learning
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Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning.

Scientific reports Nov 23, 2023
Detecting clinical keratoconus (KCN) poses a challenging and time-consuming task. During the diagnostic process, ophthalmologists are required to review demographic and clinical ophthalmic examinations in order to make an accurate diagnosis. This stu...
Keratoconus Humans Neural Networks, Computer Computers Retrospective Studies Deep Learning
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Artificial intelligence for detecting keratoconus.

The Cochrane database of systematic reviews Nov 15, 2023
BACKGROUND: Keratoconus remains difficult to diagnose, especially in the early stages. It is a progressive disorder of the cornea that starts at a young age. Diagnosis is based on clinical examination and corneal imaging; though in the early stages, ...
Keratoconus Physical Examination Artificial Intelligence Cross-Sectional Studies Case-Control Studies Humans
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Novel deep learning approach to estimate rigid gas permeable contact lens base curve for keratoconus fitting.

Contact lens & anterior eye : the journal of the British Contact Lens Association Sep 28, 2023
INTRODUCTION: Rigid gas permeable contact lenses (RGP) are the most efficient means of providing optimal vision in keratoconus. RGP fitting can be challenging and time-consuming for ophthalmologists and patients. Deep learning predictive models could...
Humans Prosthesis Fitting Keratoconus Corneal Topography Contact Lenses Retrospective Studies Deep Learning
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Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jul 7, 2023
PURPOSE: This review was designed to compare different corneal imaging modalities using artificial intelligence (AI) for the diagnosis of keratoconus (KCN), subclinical KCN (SKCN), and forme fruste KCN (FFKCN).
Artificial Intelligence Reproducibility of Results Cornea Keratoconus Corneal Topography Humans
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KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning.

Cornea Apr 20, 2022
PURPOSE: We aimed to investigate the usefulness of Zernike coefficients (ZCs) for distinguishing subclinical keratoconus (KC) from normal corneas and to evaluate the goodness of detection of the entire corneal topography and tomography characteristic...
Keratoconus Corneal Topography Adolescent ROC Curve Humans Sensitivity and Specificity Cornea Retrospective Studies Algorithms Deep Learning Young Adult Adult
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Protocol for the diagnosis of keratoconus using convolutional neural networks.

PloS one Feb 18, 2022
Keratoconus is the corneal disease with the highest reported incidence of 1:2000. The treatment's level of success highly depends on how early it was started. Subsequently, a fast and highly capable diagnostic tool is crucial. While there are many co...
Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Keratoconus Neural Networks, Computer
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Developing Affordable, Portable and Simplistic Diagnostic Sensors to Improve Access to Care.

Sensors (Basel, Switzerland) Feb 4, 2022
Ophthalmology is a highly technical specialty, especially in the area of diagnostic equipment. While the field is innovative, the access to cutting-edge technology is limited with reference to the global population. A significant way to improve overa...
Keratoconus Humans Machine Learning Smartphone Adolescent Artificial Intelligence Health Services Accessibility Child
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