AIMC Topic: Lenses, Intraocular
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Prediction of the axial lens position after cataract surgery using deep learning algorithms and multilinear regression.
Acta ophthalmologica
Feb 6, 2022
BACKGROUND: The prediction of anatomical axial intraocular lens position (ALP) is one of the major challenges in cataract surgery. The purpose of this study was to develop and test prediction algorithms for ALP based on deep learning strategies.
Prediction of corneal back surface power - Deep learning algorithm versus multivariate regression.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Nov 2, 2021
BACKGROUND: The corneal back surface is known to add some against the rule astigmatism, with implications in cataract surgery with toric lens implantation. This study aimed to set up and validate a deep learning algorithm to predict corneal back surf...
Refractive outcomes of second-eye adjustment methods on intraocular lens power calculation in second eye.
Clinical & experimental ophthalmology
Sep 30, 2021
BACKGROUND: To investigate the refractive outcomes of second-eye adjustment (SEA) methods in different intraocular lens (IOL) power calculation formulas for second eye following bilateral sequential cataract surgery.
Artificial Intelligence, Machine Learning and Calculation of Intraocular Lens Power.
Klinische Monatsblatter fur Augenheilkunde
Nov 23, 2020
BACKGROUND AND PURPOSE: In the last decade, artificial intelligence and machine learning algorithms have been more and more established for the screening and detection of diseases and pathologies, as well as for describing interactions between measur...
Customised Selection of the Haptic Design in C-Loop Intraocular Lenses Based on Deep Learning.
Annals of biomedical engineering
Oct 9, 2020
In order to increase the probability of having a successful cataract post-surgery, the customisation of the haptic design of the intraocular lens (IOL) according to the characteristics of the patient is recommended. In this study, we present two pred...
Accuracy of Artificial Intelligence Formulas and Axial Length Adjustments for Highly Myopic Eyes.
American journal of ophthalmology
Sep 18, 2020
PURPOSE: To compare the accuracy of artificial intelligence formulas (Kane formula and Radial Basis Function [RBF] 2.0) and other formulas, including the original and modified Wang-Koch (MWK) adjustment formulas for Holladay 1 (H1-MWK) and SRK/T (SRK...
Advanced Artificial-Intelligence-Based Jiang Formula for Intraocular Lens Power in Congenital Ectopia Lentis.
Translational vision science & technology
Feb 3, 2025
PURPOSE: The purpose of this study was to develop an artificial intelligence (AI)-based intraocular lens (IOLs) power calculation formula for improving the accuracy of IOLs power calculations in patients with congenital ectopia lentis (CEL).
Predicting intraocular lens tilt using a machine learning concept.
Journal of cataract and refractive surgery
Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning.
Journal of cataract and refractive surgery
Jan 1, 2024
PURPOSE: To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL).
Improvement of Multiple Generations of Intraocular Lens Calculation Formulae with a Novel Approach Using Artificial Intelligence.
Translational vision science & technology
Mar 1, 2021
PURPOSE: Cataract surgery is the most common eye surgery. Appropriate optimization of intraocular lens (IOL) calculation formulae can result in improved patient outcomes. The purpose of this article is to describe a methodology of optimizing existing...
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