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
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
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
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
Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review.
2023年以來生成大型語言模型在電子健康紀錄中的病患照護:系統性回顧。
medRxiv 2024-09-04