AIMC Topic: Lens Implantation, Intraocular
Clear Filters Showing 11 to 20 of 22 articles
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.
Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.
American journal of ophthalmology
Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
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...
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...
Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.
Journal of cataract and refractive surgery
May 1, 2025
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.
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).
[Primary angle closure suspects: application of machine learning method for substantiation of close monitoring].
Vestnik oftalmologii
Jan 1, 2025
UNLABELLED: One of the priority areas in healthcare is the concept of predictive, preventive and personalized medicine, which is based on an individualized approach to the patient, including before the onset of diseases such as glaucoma.
Prediction of vaults in eyes with vertical implantable collamer lens implantation.
Journal of cataract and refractive surgery
Jan 1, 2025
PURPOSE: To design formulas for predicting postoperative vaults in vertical implantable collamer lens (ICL) implantation and to achieve more precise predictions using machine learning models.
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.
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