AIMC Topic: Refraction, Ocular
Clear Filters Showing 11 to 20 of 48 articles
Artificial intelligence-assisted fitting method using corneal topography outcomes enhances success rate in orthokeratology lens fitting.
Contact lens & anterior eye : the journal of the British Contact Lens Association
Dec 16, 2024
PURPOSE: Based on ideal outcomes of corneal topography following orthokeratology (OK), an innovative machine learning algorithm for corneal refractive therapy (CRT) was developed to investigate the precision of artificial intelligence (AI)-assisted O...
Enhancing Predicted Visual Acuity After SmartSight Lenticule Extraction: Identifying Key Factors With Machine Learning.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Dec 1, 2024
PURPOSE: To develop a predictive model aimed at assessing the likelihood of improvement in corrected distance visual acuity (CDVA) for patients undergoing lenticule extraction using the SmartSight system from SCHWIND eye-tech-solutions. This model ev...
Accuracy of 7 Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Extremely Long Caucasian Eyes.
American journal of ophthalmology
Nov 12, 2024
PURPOSE: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in extremely long eyes.
Humans
Artificial Intelligence
Retrospective Studies
Female
Refraction, Ocular
Lenses, Intraocular
Visual Acuity
White People
Phacoemulsification
Reproducibility of Results
Aged
Aged, 80 and over
Male
Middle Aged
Myopia, Degenerative
Biometry
Optics and Photonics
Axial Length, Eye
Lens Implantation, Intraocular
Accuracy assessment of artificial intelligence IOL calculation formulae: utilizing the heteroscedastic statistics and the Eyetemis Analysis Tool.
Eye (London, England)
Sep 25, 2024
OBJECTIVES: To analyse the accuracy of artificial intelligence (AI)-driven intraocular (IOL) calculation formulae, together with established formulae using the heteroscedastic methodology and the Eyetemis Analysis Tool.
LASIK Versus PRK Based on Increased Risk of Corneal Haze: Assessing Current Decision-Making Capabilities of Six Artificial Intelligence Models in Refractive Surgery.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Aug 1, 2024
PURPOSE: To investigate the current decision-making capabilities of 6 different artificial intelligence (AI) models by assessing their refractive surgery recommendations (laser in-situ keratomileusis [LASIK] or photorefractive keratectomy [PRK]) for ...
Development and evaluation of a deep neural network model for orthokeratology lens fitting.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Jul 9, 2024
PURPOSE: To optimise the precision and efficacy of orthokeratology, this investigation evaluated a deep neural network (DNN) model for lens fitting. The objective was to refine the standardisation of fitting procedures and curtail subjective evaluati...
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...
Comparing the accuracy of intraocular lens power calculation formulas using artificial intelligence and traditional formulas in highly myopic patients: a meta-analysis.
International ophthalmology
Jun 21, 2024
PURPOSE: The accuracy of intraocular lens (IOL) calculations is one of the key indicators for determining the success of cataract surgery. However, in highly myopic patients, the calculation errors are relatively larger than those in general patients...
Machine learning-based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: A multicentre, retrospective study.
Acta ophthalmologica
Mar 22, 2024
PURPOSE: To develop and validate an effective nomogram for predicting poor response to orthokeratology.
The LISA-PPV Formula: An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes.
American journal of ophthalmology
Mar 6, 2024
PURPOSE: To investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV).
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