AIMC Topic: Lenses, Intraocular

Clear Filters Showing 11 to 20 of 28 articles

The LISA-PPV Formula: An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes.

American journal of ophthalmology
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).

The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes: a systematic review and network meta-analysis.

Frontiers in public health
OBJECTIVE: To systematically compare and rank the accuracy of AI-based intraocular lens (IOL) power calculation formulas and traditional IOL formulas in highly myopic eyes.

Automatic segmentation of intraocular lens, the retrolental space and Berger's space using deep learning.

Acta ophthalmologica
PURPOSE: To develop and validate a deep learning model to automatically segment three structures using an anterior segment optical coherence tomography (AS-OCT): The intraocular lens (IOL), the retrolental space (IOL to the posterior lens capsule) an...

Prediction of the axial lens position after cataract surgery using deep learning algorithms and multilinear regression.

Acta ophthalmologica
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)
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
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
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
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
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...