Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

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 …

There are enormous enthusiasm and concerns in applying large language models (LLMs) to
healthcare. Yet current assumptions are based on general-purpose LLMs such as ChatGPT …

Importance There is increased interest in and potential benefits from using large language
models (LLMs) in medicine. However, by simply wondering how the LLMs and the …

Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

In this paper, we introduce a unified and generalist Biomedical Generative Pre-trained
Transformer (BiomedGPT) model, which leverages self-supervision on large and diverse …

Sifting through vast textual data and summarizing key information from electronic health
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …

Artificial intelligence (AI) has emerged as a transformative force in various sectors, including
medicine and healthcare. Large language models like ChatGPT showcase AI's potential by …

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 …

Biomedical literature is growing rapidly, making it challenging to curate and extract
knowledge manually. Biomedical natural language processing (BioNLP) techniques that …