Large language models (LLMs), such as ChatGPT, have achieved substantial attention due
to their impressive human language understanding and generation capabilities. Therefore …

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 …

Large Language Models (LLMs) have demonstrated impressive performance on Natural
Language Processing (NLP) tasks, such as Question Answering, Summarization, and …

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 …

Chest X-rays (CXRs) are the most frequently performed imaging test in clinical practice.
Recent advances in the development of vision-language foundation models (FMs) give rise …

Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …

Retrieval-augmented generation (RAG) is a powerful technique to facilitate language model
with proprietary and private data, where data privacy is a pivotal concern. Whereas …

Little more than a year after ChatGPT's public release, clinicalapplicationsofgenerativeartificialintel…
largelanguagemodels (LLMs) areadvancingrapidly. Inthe long term, LLMs may …

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

Importance General-domain large language models may be able to perform risk stratification
and predict postoperative outcome measures using a description of the procedure and a …