Aim
The purpose of this study was to assess the prevalence of strabismus and nystagmus and to analyse associated factors in preterm and full-term infants in adulthood.
Methods
The Gutenberg Prematurity Eye Study is a retrospective cohort study with a…
Tomographic and topographic predictive factors of big bubble formation during deep anterior lamellar keratoplasty in keratoconus (see page 1486) In patients with keratoconus, the classification of the severity stage assessed by anterior segment optica…
Foundation models represent a paradigm shift in artificial intelligence (AI), evolving from narrow models designed for specific tasks to versatile, generalisable models adaptable to a myriad of diverse applications. Ophthalmology as a specialty has th…
The rapid advancements in generative artificial intelligence are set to significantly influence the medical sector, particularly ophthalmology. Generative adversarial networks and diffusion models enable the creation of synthetic images, aiding the de…
Background
Artificial intelligence (AI) in medical imaging diagnostics has huge potential, but human judgement is still indispensable. We propose an AI-aided teaching method that leverages generative AI to train students on many images while preservin…
Background
Chat Generative Pre-trained Transformer (ChatGPT), a large language model by OpenAI, and Bard, Google’s artificial intelligence (AI) chatbot, have been evaluated in various contexts. This study aims to assess these models’ profi…
Purpose
To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD).
Methods
300 optical coherence tomography volumes from subject eyes with nAMD we…
Aims
To develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images.
Methods
This study included 142 628 AS-OCT B-scans from the American University of B…
Purpose
To evaluate the capabilities and incapabilities of a GPT-4V(ision)-based chatbot in interpreting ocular multimodal images.
Methods
We developed a digital ophthalmologist app using GPT-4V and evaluated its performance with a dataset (60 images…
Background/aims
The aim of this study was to develop and evaluate digital ray, based on preoperative and postoperative image pairs using style transfer generative adversarial networks (GANs), to enhance cataractous fundus images for improved retinopat…