To investigate the association between topical carbonic anhydrase inhibitor (CAI) use and the development of depression and anxiety disorders in patients with glaucoma. … [Read more...] about Depression and Anxiety Following Topical Carbonic Anhydrase Inhibitors
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Association of Air Pollution Exposure with Incident Cataract Surgery and Neovascular Age-Related Macular Degeneration in Two French Nationwide Cohorts
Age-related macular degeneration (AMD) and cataracts are part of the leading causes of blindness globally, with oxidative stress being a key factor in their development. Air pollution, known to exacerbate oxidative stress, may contribute to the progression of these diseases. This study aims at investigating the association between ambient air pollution exposure and the … [Read more...] about Association of Air Pollution Exposure with Incident Cataract Surgery and Neovascular Age-Related Macular Degeneration in Two French Nationwide Cohorts
Quantitative Assessment of Fluorescein Angiography Leakage via Deep Learning in Pediatric Uveitis: Correlation with Clinical Parameters
Develop a deep learning algorithm for automated segmentation of retinal vascular and macular edema leakage in fluorescein angiography (FA) of pediatric uveitis. … [Read more...] about Quantitative Assessment of Fluorescein Angiography Leakage via Deep Learning in Pediatric Uveitis: Correlation with Clinical Parameters
A Multimodal Multi-task AI Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect
To develop a multimodal, multi-task artificial intelligence (AI) model to classify post-fitting corneal topography patterns and predict axial length growth, while simultaneously outputting optimal orthokeratology (ortho-K) lens parameters and the predicted probability of axial growth to support clinical decisions. … [Read more...] about A Multimodal Multi-task AI Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect
A Deep-Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease
To develop and evaluate a deep-learning-based framework for quantifying thyroid eye disease (TED) severity before and after teprotumumab treatment, an insulin-like growth factor-1 receptor (IGF-1R) inhibitor, and to create a predictive model for forecasting individual patient responses to therapy. … [Read more...] about A Deep-Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease