AIMC Topic: Cornea

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Artificial Intelligence for Refractive Surgery Screening: Finding the Balance Between Myopia and Hype-ropia.

JAMA ophthalmology May 1, 2020
Humans Myopia Deep Learning Refractive Surgical Procedures Artificial Intelligence Cornea
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Corneal Diseases Cornea Ophthalmic Nerve Male Nerve Fibers Middle Aged Deep Learning Humans Algorithms Female Diabetic Neuropathies Microscopy, Confocal Reproducibility of Results
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[Assistant diagnose for subclinical keratoconus by artificial intelligence].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Dec 11, 2019
To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical intelligence. Diagnostic study. From January 2016 to January 2019, who admitted to Tianjin Eye Hospital from 18 to 48 years old, with an average of ...
ROC Curve Keratoconus Corneal Pachymetry Corneal Topography Humans Middle Aged Sensitivity and Specificity Adolescent Cornea Young Adult Artificial Intelligence Adult
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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.

Journal of biomedical optics Dec 1, 2019
Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and process...
Algorithms Aged Young Adult Neural Networks, Computer Machine Learning Middle Aged Image Interpretation, Computer-Assisted Phantoms, Imaging Adult Cornea Humans Corneal Pachymetry
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[A machine learning model on orthokeratology lens fitting based on the data of optometry examination].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Feb 11, 2019
To get an orthokeratology lens fitting model according to the research of the optometry examination data, which can help to improve the work efficiency and increase the hitting rate of prescription. The relationship between the basic optometry exam...
Optometry Cornea Humans Corneal Topography Contact Lenses Machine Learning
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Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery Feb 1, 2016
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.
Keratoconus Humans Case-Control Studies Photography Corneal Topography Machine Learning Diagnostic Techniques, Ophthalmological ROC Curve Corneal Pachymetry Male Retrospective Studies Young Adult Middle Aged Female Adult Cornea Reproducibility of Results
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Robotically assisted amniotic membrane transplant surgery.

JAMA ophthalmology Feb 1, 2015
Cornea Amnion Male Aged, 80 and over Corneal Diseases Humans Robotics Adult Female Microsurgery Middle Aged
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