Latest AI and machine learning research in ophthalmology for healthcare professionals.
OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study 2 (AREDS2) data elements, encompassing phenotypic, imaging, dietary, genetic, and ancillary data. DESIGN: Dataset description of a multicenter, phase III, randomized clinical trial evaluating lutein + zeaxanthin, ω-3, or both long-chain polyunsaturated fatty acid supplementation in intermediate age...
Chemiluminescent (CL) biosensors have rapidly emerged as indispensable analytical tools within the multifaceted domains of pharmaceutical research, development, and clinical diagnostics. This prominence stems from their intrinsic attributes such as higher sensitivity, low background noise, and inherent amenability to miniaturization for portable, real-time readout capabilities. This comprehensive ...
PURPOSE: To evaluate the performance of ChatGPT-4 and Gemini, two large language models (LLMs), in addressing frequently asked questions (FAQs) about ...
Tissue architecture is a product of a multilayered molecular landscape, where even subtle disruptions in the spatial context can initiate or reflect d...
The adulteration of pure edible oils, particularly with cost-effective oils like palm oil, has become a significant concern due to its detrimental imp...
Over the past 20 years, endothelial keratoplasty procedures have revolutionized the treatment of corneal endothelial disorders. These conditions have ...
CLINICAL RELEVANCE: Communication between eye care practitioners is essential to optimise health care. Traditionally, actors have been used prior to r...
Ocular blood flow imaging techniques have become indispensable in current clinical practice because retinal vascular disturbances have been implicated...
Early detection and accurate classification of retinal diseases, such as diabetic retinopathy (DR) and age-related macular degeneration (AMD), are ess...
PURPOSE: To investigate the association between best-corrected visual acuity (BCVA) and quantitative macular fluid volumes, compared to central subfie...
Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss in older adults. While anti-vascular endothelial growth factor (...
BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geograp...
Diabetic retinopathy (DR) is a leading cause of vision impairment globally, necessitating early and accurate detection through effective screening met...
Focal cortical dysplasia (FCD) is a neurodevelopmental malformation that often manifests as medically refractory epilepsy. A key histological hallmark...
Visual Question Answering (VQA) systems have seen remarkable progress with the incorporation of multimodal data. However, their performance is still h...
The prominence of artificial intelligence (AI) is growing exponentially, yet its implementation across research domains is uneven. To quantify AI tren...
PURPOSE: To evaluate the agreement and performance of four large language models (LLMs)-ChatGPT-3.5, ChatGPT-4.0, Leny-ai, and MediSearch-in diagnosin...
Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of ...
Artificial vision synaptic devices, characterized by low power consumption and high parallelism efficiency, hold significant promise for artificial vi...
PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally. Although artificial intelligence (AI)-based scree...