AIMC Topic: Astigmatism
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Myopia prediction for children and adolescents via time-aware deep learning.
Scientific reports
Apr 3, 2023
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length historical vision records. From October 2019 to March 2022, we examined uncorrected visual acuity, sphere...
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...
Artificial intelligence-based nomogram for small-incision lenticule extraction.
Biomedical engineering online
Apr 23, 2021
BACKGROUND: Small-incision lenticule extraction (SMILE) is a surgical procedure for the refractive correction of myopia and astigmatism, which has been reported as safe and effective. However, over- and under-correction still occur after SMILE. The n...
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];...
Multi-view deep learning for rigid gas permeable lens base curve fitting based on Pentacam images.
Medical & biological engineering & computing
May 3, 2020
Many studies in the rigid gas permeable (RGP) lens fitting field have focused on providing the best fit for patients with irregular astigmatism, a challenging issue. Despite the ease and accuracy of fitting in the current fitting methods, no studies ...
Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.
American journal of ophthalmology
Oct 21, 2019
PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenticule extraction (SMILE) nomogram.
Aspherical lens design using hybrid neural-genetic algorithm of contact lenses.
Applied optics
Oct 1, 2015
The design of complex contact lenses involves numerous uncertain variables. How to help an optical designer to first design the optimal contact lens to reduce discomfort when wearing a pair of glasses is an essential design concern. This study examin...
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