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Article
Open AccessComparison of early visual outcomes after SMILE using VISUMAX 800 and VISUMAX 500 for myopia: a retrospective matched case–control study
VISUMAX 800 was introduced to improve the patient experience and clinical outcomes of small incision lenticule extraction (SMILE). This was a retrospective, matched, and case–control study (1:2) controlled for...
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Article
Open AccessA feasibility study on the adoption of a generative denoising diffusion model for the synthesis of fundus photographs using a small dataset
The generative diffusion model has been highlighted as a state-of-the-art artificial intelligence technique for image synthesis. Here, we show that a denoising diffusion probabilistic model (DDPM) can be used ...
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Article
Association between metformin use and the risk of develo** open-angle glaucoma among patients with diabetes: a retrospective cohort study and meta-analysis
Recent studies examining the neuroprotective effects of metformin on open-angle glaucoma (OAG) have failed to provide consistent results. In this study, we investigated the association between metformin use an...
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Article
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era
Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with several pathological corneal conditions. As FP-based examinati...
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Article
Open AccessDevelopment of a generative deep learning model to improve epiretinal membrane detection in fundus photography
The epiretinal membrane (ERM) is a common retinal disorder characterized by abnormal fibrocellular tissue at the vitreomacular interface. Most patients with ERM are asymptomatic at early stages. Therefore, scr...
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Article
Open AccessAssociation between cataract and fatty liver diseases from a nationwide cross-sectional study in South Korea
This study examined the link between fatty liver disease (FLD) and cataracts, as previous research has suggested that FLD may contribute to metabolic syndrome, systemic inflammation, and potentially cataracts....
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Article
Open AccessDeep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography
The mismatch between training and testing data distribution causes significant degradation in the deep learning model performance in multi-ethnic scenarios. To reduce the performance differences between ethnic...
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Article
Open AccessDevelopment of an implantable collamer lens sizing model: a retrospective study using ANTERION swept-source optical coherence tomography and a literature review
Optimal sizing for phakic intraocular lens (EVO-ICL with KS-AquaPort) implantation plays an important role in preventing postoperative complications. We aimed to formulate optimal lens sizing using ocular biom...
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Article
Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography
Myopic regression after surgery is the most common long-term complication of refractive surgery, but it is difficult to identify myopic regression without long-term observation. This study aimed to develop mac...
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Article
Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images
This study aimed to evaluate a deep learning model for estimating uncorrected refractive error using posterior segment optical coherence tomography (OCT) images.
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Article
Open AccessClinical outcomes of the immediate reapplication of small-incision lenticule extraction without adjusting the surgical parameters after suction loss
This study was to analyze the clinical outcomes of immediate reapplication of small-incision lenticule extraction (SMILE) without adjusting the surgical parameters after suction loss and to compare the outcome...
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Article
Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine
Sarcopenia is characterized by a gradual loss of skeletal muscle mass and strength with increased adverse outcomes. Recently, large-scale epidemiological studies have demonstrated a relationship between severa...
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Article
Open AccessApplication of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Recent advances in deep learning techniques have led to improved diagnostic abilities in ophthalmology. A generative adversarial network (GAN), which consists of two competing types of deep neural networks, in...
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Article
Open AccessArtificial intelligence-based nomogram for small-incision lenticule extraction
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 s...
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Article
Open AccessReduction of corneal epithelial thickness during medical treatment for myopic regression following FS-LASIK
To evaluate corneal epithelial thickness change during medical treatment for eyes with myopic regression after femtosecond laser-assisted in situ keratomileusis (FS-LASIK).
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Article
Open AccessAdopting machine learning to automatically identify candidate patients for corneal refractive surgery
Recently, it has become more important to screen candidates that undergo corneal refractive surgery to prevent complications. Until now, there is still no definitive screening method to confront the possibilit...
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Article
Age-related differences in corneal epithelial thickness measurements with anterior segment optical coherence tomography
To measure corneal epithelial thickness (CET) in healthy adults and to investigate its variation with age by use of anterior segment optical coherence tomography (OCT).
