AI Medical Compendium Journal:
Journal of cataract and refractive surgery

Showing 1 to 10 of 16 articles

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.
Adult Humans Male Middle Aged Myopia Biometry Machine Learning Visual Acuity Anterior Eye Segment Lens Implantation, Intraocular Tomography, Optical Coherence Retrospective Studies Phakic Intraocular Lenses Datasets as Topic Female Random Allocation Young Adult
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CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images.

Journal of cataract and refractive surgery Mar 1, 2025
PURPOSE: To assess a new objective deep learning model cataract grading method based on swept-source optical coherence tomography (SS-OCT) scans provided by the Anterion.
Cross-Sectional Studies Aged Aged, 80 and over Humans ROC Curve Male Young Adult Prospective Studies Middle Aged Tomography, Optical Coherence Adult Female Deep Learning Cataract
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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.
Retrospective Studies Female Young Adult Adult Humans Machine Learning Visual Acuity Biometry Lens Implantation, Intraocular Phakic Intraocular Lenses Male Middle Aged Refraction, Ocular Myopia
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Forme fruste keratoconus detection with OCT corneal topography using artificial intelligence algorithms.

Journal of cataract and refractive surgery Dec 1, 2024
PURPOSE: To differentiate a normal cornea from a forme fruste keratoconus (FFKC) with the swept-source optical coherence tomography (SS-OCT) topography CASIA 2 using machine learning artificial intelligence algorithms.
Corneal Topography Tomography, Optical Coherence Young Adult Adult Cornea Male Middle Aged Case-Control Studies ROC Curve Keratoconus Artificial Intelligence Algorithms Retrospective Studies Female Humans
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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.
Lens Implantation, Intraocular Artificial Lens Implant Migration Middle Aged Refraction, Ocular Lenses, Intraocular Humans Prospective Studies Visual Acuity Tomography, Optical Coherence Machine Learning Female Phacoemulsification Aged Biometry Male Pseudophakia
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Reply: Artificial intelligence chatbot and Academy Preferred Practice Pattern® Guidelines on cataract and glaucoma.

Journal of cataract and refractive surgery Jun 1, 2024
Ophthalmology Humans Practice Guidelines as Topic Academies and Institutes Glaucoma Artificial Intelligence Cataract Extraction Cataract
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Comment on: Artificial intelligence chatbot and Academy Preferred Practice Pattern ® Guidelines on cataract and glaucoma.

Journal of cataract and refractive surgery Jun 1, 2024
Cataract Humans Ophthalmology Practice Guidelines as Topic Glaucoma Academies and Institutes Artificial Intelligence Cataract Extraction
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Innovative utilization of ultra-wide field fundus images and deep learning algorithms for screening high-risk posterior polar cataract.

Journal of cataract and refractive surgery Jun 1, 2024
PURPOSE: To test a cataract shadow projection theory and validate it by developing a deep learning algorithm that enables automatic and stable posterior polar cataract (PPC) screening using fundus images.
Humans Algorithms Retrospective Studies Female Aged Male Middle Aged Deep Learning Cataract Fundus Oculi
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VAULT: vault accuracy using deep learning technology: new image-based artificial intelligence model for predicting implantable collamer lens postoperative vault.

Journal of cataract and refractive surgery May 1, 2024
PURPOSE: To develop an accurate deep learning model to predict postoperative vault of phakic implantable collamer lenses (ICLs).
Postoperative Period Lens Implantation, Intraocular Phakic Intraocular Lenses Middle Aged Myopia Deep Learning Visual Acuity Humans Female Neural Networks, Computer Young Adult Artificial Intelligence Adult Retrospective Studies Male
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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).
Deep Learning Tomography, Optical Coherence Humans Prosthesis Design Cross-Sectional Studies Lenses, Intraocular Spain
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