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…
Background
Indocyanine green angiography (ICGA) is vital for diagnosing chorioretinal diseases, but its interpretation and patient communication require extensive expertise and time-consuming efforts. We aim to develop a bilingual ICGA report generati…
Background/aims
This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 in answering questions about complex clinical ophthalmology cases.
Methods
We tested GPT-4 on 422 Journal of the American Medical Association Ophthalmol…
Background
Large language models (LLMs), such as ChatGPT, have considerable implications for various medical applications. However, ChatGPT’s training primarily draws from English-centric internet data and is not tailored explicitly to the medic…
Aim
To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Methods
This study included 6442 images that were captured using a slit-lamp microscope (6106 images)…
Background/aims
This was a cross-sectional comparative study. We evaluated the ability of three large language models (LLMs) (ChatGPT-3.5, ChatGPT-4, and Google Bard) to generate novel patient education materials (PEMs) and improve the readability of …
Background
We aimed to define the capability of three different publicly available large language models, Chat Generative Pretrained Transformer (ChatGPT-3.5), ChatGPT-4 and Google Gemini in analysing retinal detachment cases and suggesting the best p…
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering (see page 1371) The large language model Generative Pre-trained Transformer 4 (GPT-4, Open AI) demonstrated strong perform…