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 …

Large language models (LLMs) have been applied to tasks in healthcare, ranging from
medical exam questions to responding to patient questions. With increasing institutional …

Background: Previous research applying large language models (LLMs) to medicine was
focused on text-based information. Recently, multimodal variants of LLMs acquired the …

Background The integration of large language models (LLMs) like ChatGPT in diagnostic
medicine, with a focus on digital pathology, has garnered significant attention. However …

Abstract Large Language Models (LLMs) have consistently showcased remarkable
generalization capa-bilities when applied to various language tasks. Nonetheless …

Large Language Models (LLMs) have rapidly become important tools in Biomedical and
Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct …

for task 1 (κ median, 0.31–0.41) and moderate to substantial agreement with outputs from
the two labelers for task 2 (κ median, 0.52–0.64). Compared with prompt 1, Vicuna outputs …

“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …

I read with great interest the Editorial by Dr. Alberts et al. which discusses an issue that is
currently of immense importance to the medical community and is worth discussing [1]. As a …

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …