Background: Previous research applying large language models (LLMs) to medicine was
focused on text-based information. Recently, multimodal variants of LLMs acquired the …

Background: Previous research applying large language models (LLMs) to medicine was
focused on text-based information. Recently, multimodal variants of LLMs acquired the …

I read with great interest the study conducted by Nakaura et al., which investigates the
potential of Generative Pretrained Transformers (GPT) in generating radiology reports [1]. I …

Abstract Objective Large Language Models (LLMs) have demonstrated proficiency in free-
text analysis in healthcare. With recent advancements, GPT-4 now has the capability to …

Background: Emergency physicians need a broad range of knowledge and skills to address
critical medical, traumatic, and environmental conditions. Artificial intelligence (AI), including …

Dear editor, I read with great excitement the study conducted by Nakaura et al., examining
the potential of large language models (LLMs) to serve as copilots or autonomous agents in …

Background Using artificial intelligence (AI) to help clinical diagnoses has been an active
research topic for more than six decades. Past research, however, has not had the scale and …

The use of large language models (LLMs) in healthcare is gaining popularity, but their
practicality and safety in clinical settings have not been thoroughly assessed. In high-stakes …

Introduction Recent developments in artificial intelligence large language models (LLMs),
such as ChatGPT, have allowed for the understanding and generation of human-like text …

Purpose To assess the performance of GPT-4 Turbo with Vision (GPT-4TV), OpenAI's latest
multimodal large language model, by comparing its ability to process both text and image …