This study systematically reviewed the application of large language models (LLMs) in
medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT …

Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle.
These biases can have significant clinical consequences, especially in applications that …

The importance of addressing fairness and bias in artificial intelligence (AI) systems cannot
be over-emphasized. Mainstream media has been awashed with news of incidents around …

Scientific research indicates that for every hour spent in direct patient care, physicians spend
nearly two additional hours on administrative tasks, particularly on electronic health records …

In this article, we introduce a sociolinguistic perspective on language modeling. We claim
that language models in general are inherently modeling varieties of language, and we …

Clinical notes recorded during a patient's perioperative journey holds immense
informational value. Advances in large language models (LLMs) offer opportunities for …

Large language models (LLMs) are increasingly applied to clinical decision-making.
However, their potential to exhibit bias poses significant risks to clinical equity. Currently …

Integrating large language models (LLMs) to retrieve targeted medical knowledge from
electronic health records enables significant advancements in medical research. However …

ChatGPT, developed by OpenAI, is a large language model (LLM) that leverages artificial
intelligence (AI) and deep learning (DL) to generate human-like responses. This paper …

Objective: This systematic review evaluates the current applications, advantages, and
challenges of large language models (LLMs) in melanoma care. Methods: A systematic …