Generative artificial intelligence, especially large language models (LLMs), has the potential
to affect every level of pediatric education and training. Demonstrating speed and …

Introduction Large Language Models (LLMs) are sophisticated algorithms that analyze and
generate vast amounts of textual data, mimicking human communication. Notable LLMs …

Purpose This study is a comparative analysis of three Large Language Models (LLMs)
evaluating their rate of correct answers (RoCA) and the reliability of generated answers on a …

Introduction: This study aimed to evaluate the accuracy, completeness, precision, and
readability of outputs generated by three large language models (LLMs); these are GPT by …

Objective Large language models such as ChatGPT have demonstrated significant potential
in question-answering within ophthalmology, but there is a paucity of literature evaluating its …

Introduction This study aimed to evaluate the accuracy, completeness, precision, and
readability of outputs generated by three large language models (LLMs); these are GPT by …

Background: Among emerging AI technologies, Chat-Generative Pre-Trained Transformer
(ChatGPT) emerges as a notable language model, uniquely developed through artificial …

Objective To evaluate the accuracy and reproducibility of ChatGPT's free version answers
about endometriosis for the first time. Methods Detailed internet searches to identify …

Introduction Vesicoureteral reflux (VUR) is a common congenital or acquired urinary
disorder in children. Chat Generative Pre-trained Transformer (ChatGPT) is an artificial …

Purpose: We examined the knowledge of ChatGPT about glaucoma. Materials and Methods:
Frequently asked questions about glaucoma found on websites of ophthalmology …