Ophthalmology

Statistics of natural scenes shape contextual modulation in the visual cortex.

Vision is context dependent, with neuronal responses shaped not only by local features but also by surrounding visual input. While classical studies, using grating stimuli, show that iso-oriented surrounds suppress responses more than orthogonal surrounds, the role of contextual modulation under natural stimulus conditions remains less clear. Using recordings from mouse primary visual cortex (V1),...

Fundus tessellation density as a quantitative marker of myopia progression: a five-year longitudinal deep learning study.

Prostate cancer tissue mapping and stratification using DRAQ5 and Eosin fluorescent labels integrated with AI classification and segmentation algorithms.

BACKGROUND: Fluorescent microscopy using the DRAQ5 and Eosin probes has been shown in the literature to be capable of producing rapid tissue character...

Hippocampal-parietal directed connectivity mediates brain network reconfiguration between internal and external attention: An intracranial EEG study.

Attention is a cornerstone of cognitive function, and understanding its neural mechanisms is of great significance for both cognitive science and clin...

Transcriptomic advances in studies of muscle stem cell aging: From bulk to single-cell and beyond.

Advances in transcriptomic technologies have progressively transformed the questions we can ask and answer about muscle stem cells (MuSCs) during agin...

Evaluating Three Large Language Models in Ophthalmology Education: A Comparative Study of Accuracy and Readability Across 442 Questions.

PURPOSE: To compare the accuracy and readability of ChatGPT-4.0 Mini, Gemini 1.5 Flash and Microsoft Copilot generated responses to fifth year medical...

The Impact of AI on Eye Gaze Patterns in Chest X-Ray Interpretation: An Eye Tracking Study of Novice and Expert Radiologists.

PURPOSE: To investigate how artificial intelligence-assisted chest radiograph interpretation influences eye gaze patterns in novice and expert radiolo...

Artificial intelligence in pediatric myopia - a narrative review.

VGM-UNet: A hybrid visual graph deformable mamba with fourier neural operator U-Net for medical image segmentation.

Deep learning methods have demonstrated remarkable advancements in medical image segmentation. However, achieving high accuracy remains a prominent ch...

A vision transformer model for the detection of glaucoma from optic disc photographs.

This study uses a deep learning algorithm to analyze optic disc photographs (ODPs) and classify eyes as glaucomatous or healthy based on optic nerve a...

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. ...

[Imaging modalities for corneal neovascularization].

Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, vis...

Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework.

The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Though deep learning (DL) te...

Revealing the therapeutic potential of Laminaria japonica polysaccharides against cataract: evidence from transcriptomics, network pharmacology, and in vivo experiments.

OBJECTIVE: To investigate the protective effects and underlying molecular mechanisms of Laminaria japonica polysaccharides (LPs) against cataract. MET...

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images.

Glaucoma is a leading cause of irreversible blindness globally. When glaucoma is diagnosed, Anterior Chamber Angle (ACA) evaluation is the necessary s...

Thrombopoietin receptor agonists in immune thrombocytopenia: a comparative review of mechanisms, efficacy, and the future of personalized management.

INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic immune thrombocytopenia (ITP) by directly targeting i...

Predicting Visual Field Loss in Glaucoma Using OCT and Deep Learning: A Comparative Study of U-Net Variants.

PURPOSE: Glaucoma is a chronic eye disease that progressively damages the optic nerve, leading to irreversible visual field (VF) loss. OCT and VF test...

Attention‑Guided Hybrid Deep Learning with Fibonacci and Annular Ring Handcrafted Features for Glaucoma Detection in Retinal Images.

Glaucoma, a major contributor to irreversible blindness, often progresses silently, making early detection vital. Manual interpretation of retinal fun...

An enhanced diabetic retinopathy detection approach using optimized deep learning technique.

Diabetic Retinopathy (DR) remains a leading cause of vision loss among diabetic patients, underscoring the importance of early detection through relia...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges worldwide, with Korea providing a unique perspectiv...