Large language models (LLMs) can potentially transform healthcare, particularly in
providing the right information to the right provider at the right time in the hospital workflow …

Abstract Large Language Models (LLMs) are transformer‐based neural networks with
billions of parameters trained on very large text corpora from diverse sources. LLMs have …

Background: Large language models (LLMs) have significant capabilities in clinical
information processing tasks. Commercially available LLMs, however, are not optimized for …

Over the past year, the emergence of state-of-the-art large language models (LLMs) in tools
like ChatGPT has ushered in a rapid acceleration in artificial intelligence (AI) innovation …

With the rapid development of artificial intelligence, large language models (LLMs) have
shown promising capabilities in mimicking human-level language comprehension and …

Background: Evidence-based medicine (EBM) is fundamental to modern clinical practice,
requiring clinicians to continually update their knowledge and apply the best clinical …

The integration of large language models (LLMs) into healthcare, particularly in nephrology,
represents a significant advancement in applying advanced technology to patient care …

Large language models (LLMs) have the potential to revolutionize the field of medicine by,
among other applications, improving diagnostic accuracy and supporting clinical decision …

Abstract Background Large language models (LLMs) have recently shown impressive zero-
shot capabilities, whereby they can use auxiliary data, without the availability of task-specific …

Large Language Models (LLMs) present immense potential in the medical field, yet
concerns over data privacy, regulatory compliance, and model stability restrict their …