Ethical frameworks for the use of natural language processing (NLP) are urgently needed to
shape how large language models (LLMs) and similar tools are used for healthcare …

Objective: An ethical framework for the use of large language models (LLMs) is urgently
needed to shape how natural language processing (NLP) tools are used for healthcare …

Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs)
such as GPT and BERT have evolved significantly, impacting various industries with their …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

With the rapid growth of interest in and use of large language models (LLMs) across various
industries, we are facing some crucial and profound ethical concerns, especially in the …

Early buzz around ChatGPT's [1] proficiency at healthcare tasks [2–4] has turned into rapid
deployment of large language model (LLM) technology across healthcare. Multiple …

Objectives To review through an ethics lens the state of research in clinical natural language
processing (NLP) for the study of bias and fairness, and to identify gaps in research …

Large Language Models (LLMs) have shown the potential to significantly contribute to
patient care, diagnostics, and administrative processes. Emerging biomedical LLMs address …

Clinical NLP has an immense potential in contributing to how clinical practice will be
revolutionized by the advent of large scale processing of clinical records. However, this …

Large language models (LLMs) have made significant progress in various domains,
including healthcare. However, the specialized nature of clinical language understanding …