Large language models (LLMs) are artificial intelligence models trained on vast text data to
generate humanlike outputs. They have been applied to various tasks in health care …

Privacy and ethical considerations limit access to large-scale clinical datasets, particularly
clinical text data, which contain extensive and diverse information and serve as the …

One of the major barriers to using large language models (LLMs) in medicine is the
perception they use uninterpretable methods to make clinical decisions that are inherently …

Background Benefiting from rich knowledge and the exceptional ability to understand text,
large language models like ChatGPT have shown great potential in English clinical …

Background: ChatGPT, an artificial intelligence (AI) chatbot, is the fastest growing consumer
application in history. Given recent trends identifying increasing patient use of Internet …

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …

Abstract Objective Large language models (LLMs) such as ChatGPT are increasingly
explored in medical domains. However, the absence of standard guidelines for performance …

Abstract Purpose To assess ChatGPT's accuracy, relevance, and readability in answering
patients' common imaging-related questions and examine the effect of a simple prompt …

Cardiovascular disease (CVD) remains a pressing global health concern. While traditional
risk prediction methods such as the Framingham and American College of …

Background Advancements in artificial intelligence (AI) have led to the creation of large
language models (LLMs), such as Chat Generative Pretrained Transformer (ChatGPT) and …