English(EN) AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis

AutoForest系统自动化生物医学证据合成

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-01 15:49

研究人员开发了AutoForest，一个端到端的系统，旨在自动从生物医学研究中创建森林图。该新工具通过直接从研究论文中提取干预、对照和结果数据，简化了证据合成过程。AutoForest随后进行统计分析并生成可发表的森林图，显著减少了荟萃分析通常所需的手动工作和专业知识。 AI

影响自动化复杂的荟萃分析任务，可能加速生物医学研究和临床决策。

排序理由该集群包含一篇详细介绍新自动化证据合成系统的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Massimiliano Pronesti, Angelo Miculescu, Mohsin Kapdi, Paul Flanagan, Ois\'in Redmond, Joao Bettencourt-Silva, Gurdeep Mannu, Spiros Denaxas, Rui Bebiano Da Providencia E Costa, Anya Belz, Yufang Hou · 2026-06-02 04:00

AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis

arXiv:2606.02403v1 Announce Type: cross Abstract: Systematic reviews rely on forest plots to synthesise quantitative evidence across biomedical studies, but generating them remains a fragmented and labour-intensive process. Researchers must interpret complex clinical texts, manua…
arXiv cs.AI TIER_1 English(EN) · Yufang Hou · 2026-06-01 15:49

AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis

Systematic reviews rely on forest plots to synthesise quantitative evidence across biomedical studies, but generating them remains a fragmented and labour-intensive process. Researchers must interpret complex clinical texts, manually extract outcome data from trials, define appro…