Ophthalmology

Bibliometric and visual analysis of retinal fibrosis research from 1993 to 2023.

BACKGROUND: Retinal fibrosis, a common pathological feature of various retinal diseases, significantly impairs vision. The mechanisms of retinal fibrosis are complex, with cytokine involvement playing a pivotal role. This article aims to elucidate the current research trends and key areas of focus in the study of retinal fibrosis.

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mutations primarily affecting retinal photoreceptors. In addition to vision loss, other symptoms may lead to visual impairment, such as altered visual fields, hemeralopia, glare sensitivity, and impaired color vision. These conditions almost always complicate with the onset of cataracts, macular edema ...

Tracing global progress: two decades of age-related macular degeneration research.

AIM: To conduct a comprehensive bibliometric analysis of age-related macular degeneration (AMD) research from 2002 to 2022, identifying key contributi...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morbidity in the paediatric and adult populations. Def...

Bioinspired Camouflage Fibers with Computer Vision-Guided Chromatic Adaptation.

The development of intelligent camouflage systems demands advanced materials and control strategies for dynamic environmental adaptation. Here, we dem...

Fluid fluctuations assessed with artificial intelligence during the maintenance phase impact anti-vascular endothelial growth factor visual outcomes in a multicentre, routine clinical care national age-related macular degeneration database.

AIM: To evaluate the impact of fluid volume fluctuations quantified with artificial intelligence in optical coherence tomography scans during the main...

How early can we detect diabetic retinopathy? A narrative review of imaging tools for structural assessment of the retina.

Despite current screening models, enhanced imaging modalities, and treatment regimens, diabetic retinopathy (DR) remains one of the leading causes of ...

Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen.

Retinal diseases recognition is still a challenging task. Many deep learning classification methods and their modifications have been developed for me...

Tools and methods for cataract recognition in low-resource settings: A narrative review.

Cataracts are a leading cause of global blindness, with many low-resource populations having poor access to eye care. While much is known regarding su...

The neuronal chaperone proSAAS is highly expressed in the retina.

The many layers of the neuroretina contain a complex, interconnected network of specialized neurons that both process visual stimuli and conduct proce...

Transfer Learning and Multi-Feature Fusion-Based Deep Learning Model for Idiopathic Macular Hole Diagnosis and Grading from Optical Coherence Tomography Images.

BACKGROUND: Idiopathic macular hole is an ophthalmic disease that seriously affects vision, and its early diagnosis and treatment have important clini...

Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm.

BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affecting women of a reproductive age. Prompt diagnosis...

Evaluating efficacy of 0.125% atropine using a myopia progression machine learning model.

PURPOSE: To investigate the usefulness of a machine learning (ML) model that can predict the natural course of childhood myopia in evaluation of the i...

The Ethics of Speaking (of) AIs Through the Lens of Natural Language.

This theoretical essay offers a critical exploration of the ethics involved in interacting with and talking about large language models (LLMs) of arti...

Equipping Speech-Language Clinicians for the Critical Appraisal of an Artificial Intelligence-Driven, Evidence-Based Future.

PURPOSE: Artificial intelligence (AI) is more capable and accessible than ever before. But what does this mean for clinical practice? How can speech-l...

Early diagnosis of keratoconus using corneal biomechanics and OCT derived technologies.

BACKGROUND: Early detection of keratoconus is essential for maximizing the potential of cross-linking treatments designed to halt keratoconus progress...

Diabetic retinopathy-recommendations for screening and treatment.

Diabetic retinopathy (DR), the prevalence of which continues to rise, is one of the most common causes of vision loss worldwide. Experimental and clin...

Exploring the Role of Sodium Dodecyl Sulfate Surfactant in Enhancing the Fluorescence Properties of Besifloxacin Fluoroquinolone; Application to Eye Formulations and Artificial Aqueous Humor.

An ultrasensitive, selective, rapid, and cost-effective spectrofluorimetric approach is established and validated to quantify the ophthalmic fluoroqui...

Restoring AIBP expression in the retina provides neuroprotection in glaucoma.

Glaucoma is a neurodegenerative disease manifested by retinal ganglion cell (RGC) death and irreversible blindness. We have identified apolipoprotein ...

Non-proliferative diabetic retinopathy detection using Rosmarus Quagga optimized explainable generative meta learning based deep convolutional neural network model.

PURPOSE: Non-Proliferative Diabetic Retinopathy (NPDR) is a complication of diabetes disease where there is damage of the blood vessels in retina but ...