Improving large language models for clinical named entity recognition via prompt engineering.
透過提示工程改善臨床命名實體識別的大型語言模型。
J Am Med Inform Assoc 2024-01-28
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes.
大型語言模型在分類臨床記錄中，即時工程和微調策略的比較。
medRxiv 2024-02-26
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification.
大型語言模型與監督建模在乳腺癌病理分類中零樣本推論的比較研究。
Res Sq 2024-03-04
Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks.
ChatGPT、Google 搜尋和 Llama 2 在臨床決策支援任務中的系統性分析。
Nat Commun 2024-03-09
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes.
比較大型語言模型中即時工程和微調策略在臨床記錄分類中的效果。
AMIA Jt Summits Transl Sci Proc 2024-06-03
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports.
基於大型語言模型的零-shot推論與特定任務監督分類在乳腺癌病理報告中的比較研究。
J Am Med Inform Assoc 2024-06-20
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant.
使用大型語言模型如ChatGPT、GPT-4或LLaMA作為臨床助手的潛力與陷阱。
J Am Med Inform Assoc 2024-07-17
A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population.
一項針對愛爾蘭人群 ICU 患者文本記錄中提取關鍵信息的大型語言模型比較的初步可行性研究。
Intensive Care Med Exp 2024-08-15