Ophthalmology

Latest AI and machine learning research in ophthalmology for healthcare professionals.

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Stakeholder Attitudes on AI Integration in Ophthalmology.

Artificial intelligence (AI) is gaining widespread traction in ophthalmology, with multiple screenin...

Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007-2008.

Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vis...

Influence of artificial intelligence on ophthalmologists' judgments in glaucoma.

PURPOSE: To examine the influence of artificial intelligence (AI) on physicians' judgments regarding...

Explaining disparities in robot applications among nations and regions: A cross-level lens of cultural tightness-looseness.

In this study, we aim to explain the large disparities among countries and regions on industrial rob...

Multi-stage network for single image deblurring based on dual-domain window mamba.

Multi-stage methods have been proven effective and widely used in image deblurring research. These m...

Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.

As human labour is limited and therefore expensive, computer vision has emerged as a solution with e...

Detection of diabetic macular oedema patterns with fine-grained image categorisation on optical coherence tomography.

PURPOSE: To develop an artificial intelligence (AI) system for detecting pathological patterns of di...

EFCNet enhances the efficiency of segmenting clinically significant small medical objects.

Efficient segmentation of small hyperreflective dots, key biomarkers for diseases like macular edema...

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...

Comparative performance analysis of global and chinese-domain large language models for myopia.

BACKGROUND: The performance of global large language models (LLMs), trained largely on Western data,...

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression.

Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the p...

A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production.

The high nutritional and medicinal value of apples has contributed to their widespread cultivation w...

Deep Learning Approach Readily Differentiates Papilledema, Non-Arteritic Anterior Ischemic Optic Neuropathy, and Healthy Eyes.

OBJECTIVE: Deep learning (DL) has been used in differentiating a range of ophthalmic conditions. We ...

Optimizing Diabetic Retinopathy Screening at Primary Health Centres in India: A Cost-Effectiveness Analysis.

BACKGROUND: The eye care package under the Ayushman Bharat comprehensive primary healthcare programm...

Enhancing Ophthalmic Anesthesia Optimization with Predictive Embedding Models.

Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involve...

Classification of schizophrenia based on RAnet-ET: resnet based attention network for eye-tracking.

There is a notable need of quantifiable and objective methods for the classification of schizophreni...

Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English.

The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digita...

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