Journal of cardiothoracic and vascular anesthesia
Sep 1, 2025
Recent advances in large language models (LLMs) have led to growing interest in their potential applications in medical education and clinical practice. This study evaluated whether five widely used and highly developed LLMs-ChatGPT-4, Gemini, Claude...
The Annals of otology, rhinology, and laryngology
Sep 1, 2025
BACKGROUND: To compare the readability of patient education materials (PEMs) on rhinologic conditions and procedures from the American Rhinologic Society (ARS) with those generated by large language models (LLMs).
BACKGROUND: The internet is a primary source of health information for breast cancer patients, but online content quality varies widely. This study aimed to evaluate the capability of large language models (LLMs), including ChatGPT and Claude, to ass...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Recent assessments of Multi-Modal Large Language Models (MLLMs) have been thorough. However, a detailed benchmark that integrates point cloud data with language for MLLMs remains absent, leading to superficial comparisons that obscure advancements in...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and their transformative momentum has surged into the domain of education, giving rise to a nascent wave of education-tailored LLMs. Despite their potentia...
CLINICAL RELEVANCE: Artificial intelligence has undergone a rapid evolution and large language models (LLMs) have become promising tools for healthcare, with the ability of providing human-like responses to questions. The capabilities of these tools ...
Studies in health technology and informatics
Aug 7, 2025
The objective is to create an automated knowledge extraction tool for cancer research that builds high-quality academic corpora for LLM fine-tuning while investigating its effectiveness in interleukin-6 and bladder cancer domains. To address the curr...
Studies in health technology and informatics
Aug 7, 2025
This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from emergency department triage notes to support near real-time vaccine safety surveillance. Prompt engineering was used to initially create a labeled datase...
Studies in health technology and informatics
Aug 7, 2025
In this study, we combined automatically generated labels from large language models (LLMs) with a small number of manual annotations to classify adverse event-related treatment discontinuations in Japanese EHRs. By fine-tuning JMedRoBERTa and T5 on ...
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