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Phakic Intraocular Lenses

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Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.

American journal of ophthalmology 33577789
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];...
Adolescent Adult Anterior Eye Segment Astigmatism Biometry Child Dilatation, Pathologic Eye Diseases Female Humans Lens Implantation, Intraocular Machine Learning Male Myopia Phakic Intraocular Lenses Retrospective Studies Tomography, Optical Coherence Young Adult
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Deep Learning-Based Estimation of Implantable Collamer Lens Vault Using Optical Coherence Tomography.

American journal of ophthalmology 37142173
PURPOSE: To develop and validate a deep learning neural network for automated measurement of implantable collamer lens (ICL) vault using anterior segment optical coherence tomography (AS-OCT).
Cross-Sectional Studies Deep Learning Humans Lens Implantation, Intraocular Myopia Phakic Intraocular Lenses Retrospective Studies Tomography, Optical Coherence
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A Deep Learning Model for Automatically Quantifying the Anterior Segment in Ultrasound Biomicroscopy Images of Implantable Collamer Lens Candidates.

Ultrasound in medicine & biology 38777640
OBJECTIVE: This study aimed to develop and evaluate a deep learning-based model that could automatically measure anterior segment (AS) parameters on preoperative ultrasound biomicroscopy (UBM) images of implantable Collamer lens (ICL) surgery candida...
Adult Anterior Eye Segment Deep Learning Female Humans Image Processing, Computer-Assisted Lens Implantation, Intraocular Male Microscopy, Acoustic Middle Aged Phakic Intraocular Lenses Young Adult
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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 38651696
PURPOSE: To develop an accurate deep learning model to predict postoperative vault of phakic implantable collamer lenses (ICLs).
Adult Artificial Intelligence Deep Learning Female Humans Lens Implantation, Intraocular Male Middle Aged Myopia Neural Networks, Computer Phakic Intraocular Lenses Postoperative Period Retrospective Studies Visual Acuity Young Adult
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Prediction of vaults in eyes with vertical implantable collamer lens implantation.

Journal of cataract and refractive surgery 39353094
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.
Adult Biometry Female Humans Lens Implantation, Intraocular Machine Learning Male Middle Aged Myopia Phakic Intraocular Lenses Refraction, Ocular Retrospective Studies Visual Acuity Young Adult
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Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery 39885651
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 Anterior Eye Segment Biometry Datasets as Topic Female Humans Lens Implantation, Intraocular Machine Learning Male Middle Aged Myopia Phakic Intraocular Lenses Random Allocation Retrospective Studies Tomography, Optical Coherence Visual Acuity Young Adult
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