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AutoForest system automates biomedical evidence synthesis

By PulseAugur Editorial · [2 sources] ·

Researchers have developed AutoForest, an end-to-end system designed to automate the creation of forest plots from biomedical studies. This new tool streamlines the process of evidence synthesis by extracting intervention, comparator, and outcome data directly from research papers. AutoForest then performs statistical analysis and generates publication-ready forest plots, significantly reducing the manual effort and expertise typically required for meta-analyses. AI

IMPACT Automates complex meta-analysis tasks, potentially accelerating biomedical research and clinical decision-making.

RANK_REASON The cluster contains a research paper detailing a new system for automated evidence synthesis.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. 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 ·

    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…

  2. arXiv cs.AI TIER_1 English(EN) · Yufang Hou ·

    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…

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