Latest AI and machine learning research in ophthalmology for healthcare professionals.
Most genetic risk variants linked to ocular diseases are nonprotein coding and presumably contribute to disease through dysregulation of gene expression; however, understanding their mechanisms has been impeded by incomplete annotation of transcriptional regulatory elements across retinal cell types. To address this, we carried out single-cell multiomics assays to investigate gene expression, chro...
PURPOSE: To evaluate the readability, quality, and misinformation of patient education materials generated by large language models, including ChatGPT-4o (OpenAI), Gemini 1.5 Pro (Google), and Copilot Pro (Microsoft), compared with American Society of Retina Specialists (ASRS) brochures for retinal diseases. METHODS: A cross-sectional comparative analysis was performed by generating patient educat...
Machine vision serves as the essential sensorial interface for intelligent systems, yet conventional vision systems based on the von Neumann architect...
OBJECTIVES: To investigate the spatial evolution of driving visual load under different road alignment conditions and its relationship with driving ri...
PURPOSE: To develop and evaluate a multimodal foundation-model-assisted system for differentiating primary open-angle glaucoma (POAG) from non-glaucom...
BACKGROUND/OBJECTIVES: This study aimed to develop an interpretable artificial intelligence (AI) screening system that replicates a specialist's evalu...
SIGNIFICANCE: The slit lamp is the gold standard ophthalmic instrument for examining the anterior segment of the eye. Slit lamps require the mechanica...
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...
BACKGROUND/AIMS: To evaluate and compare the diagnostic capabilities of advanced large language models (LLMs) in interpreting ophthalmological fundus ...
OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by comparing predictive values before and after catar...
Innovations like teleophthalmology have made great strides in improving access to care for patients with retinal disease by enabling prompt screening ...
BACKGROUND: The EyeMate-SC (G-Metrics GmbH, Hanover, Germany) is a permanently implantable microsensor positioned in the suprachoroidal space for tele...
Spinocerebellar ataxia type 8 (SCA8) is traditionally characterized as a cerebellar syndrome, yet emerging evidence suggests significant phenotypic he...
OBJECTIVES: This study aimed to evaluate the feasibility and limitations of an AI-powered Feline Grimace Scale (FGS) pipeline for acute pain assessmen...
Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...
Dehumanization in workplace contexts has recently gained attention due to contemporary factors such as the rapid increase in information, communicatio...
BACKGROUND/AIMS: Retinopathy of prematurity (ROP) zone classification guides disease severity assessment and Early Treatment for Retinopathy of Premat...
Individuals with visual impairments continue to face challenges in performing everyday tasks, despite ongoing advances in assistive technologies. In t...
INTRODUCTION: Inherited retinal diseases (IRDs) represent a heterogeneous group of progressive disorders that lead to visual impairment and blindness ...
PurposeStrabismus is a common pediatric eye disorder that can lead to developmental and psychosocial consequences if not treated promptly. Traditional...