Evaluating the use of large language models to provide clinical recommendations in the Emergency Department.
評估大型語言模型在急診科提供臨床建議的應用。
Nat Commun 2024-10-08
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
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
評估一款最先進的大型語言模型在預測急診入院情況的準確性。
J Am Med Inform Assoc 2024-05-21
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
Evaluating Large Language Model-Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT-4 and Medical Experts.
評估大型語言模型輔助的緊急分診:GPT-4 與醫療專家的急迫性評估比較。
J Clin Nurs 2024-11-29
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis.
大型語言模型在挖掘電子健康紀錄數據中的變革潛力:內容分析。
JMIR Med Inform 2025-01-02
Comparative evaluation and performance of large language models on expert level critical care questions: a benchmark study.
大型語言模型在專家級重症護理問題上的比較評估與表現:基準研究。
Crit Care 2025-02-10
這項研究評估了五個大型語言模型(LLMs)在重症醫學中的表現,針對1181道選擇題進行測試。結果顯示,GPT-4o的準確率最高,達93.3%,其次是Llama 3.1 70B(87.5%)和Mistral Large 2407(87.9%)。所有模型的表現都超過隨機猜測和人類醫師,但GPT-3.5-turbo未顯著優於醫師。儘管準確性高,模型仍有錯誤,需謹慎評估。GPT-4o成本高昂,對能源消耗引發關注。總體而言,LLMs在重症醫學中展現潛力,但需持續評估以確保負責任的使用。
PubMedDOI
Language Artificial Intelligence Models as Pioneers in Diagnostic Medicine? A Retrospective Analysis on Real-Time Patients.
語言人工智慧模型作為診斷醫學的先驅?對即時患者的回顧性分析。
J Clin Med 2025-02-26