Streamlining Systematic Reviews: Harnessing Large Language Models for Quality Assessment and Risk-of-Bias Evaluation.
利用大型語言模型優化系統性文獻回顧:品質評估與偏倚風險評估。
Cureus 2023-09-08
Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.
使用大型語言模型進行臨床評論的自動篩選:資料分析研究。
J Med Internet Res 2024-01-29
Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.
將此醫學文章的標題翻譯為繁體中文:「將大型語言模型整合到系統性評論中:以 ROBINS-I 進行偏倚風險評估的框架和案例研究。」
BMJ Evid Based Med 2024-02-21
Can large language models replace humans in systematic reviews? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages.
大型語言模型能否取代人類進行系統性回顧?評估 GPT-4 在篩選和提取來自多種語言的同行評審和灰色文獻中的數據的效力。
Res Synth Methods 2024-03-14
Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models' feasibility in clinical decision-making.
將人類專業知識與自動化方法整合,以動態和多參數評估大型語言模型在臨床決策中的可行性。
Int J Med Inform 2024-05-29
Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain.
使用大型語言模型進行文獻回顧的標題和摘要篩選:生物醫學領域的探索性研究。
Syst Rev 2024-06-15
Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews.
大型語言模型在通過標題和摘要篩選識別合格研究中的人類可比敏感性:使用 GPT-3.5 和 GPT-4 進行系統評價的三層策略。
J Med Internet Res 2024-08-16
Zero- and few-shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials.
生成大型語言模型的零-shot和少量提示對臨床試驗中的偏見風險評估提供了薄弱的依據。
Res Synth Methods 2024-08-23