AutoForest system automates forest plot generation from biomedical studies

By PulseAugur Editorial · [1 sources] · 2026-06-02 04:00

Researchers have developed AutoForest, an end-to-end system designed to automate the creation of forest plots from biomedical studies. This new system addresses the labor-intensive process of synthesizing quantitative evidence by extracting intervention, comparator, and outcome data directly from research papers. AutoForest then performs statistical synthesis and generates publication-ready forest plots, significantly reducing the time and expertise needed for meta-analyses. AI

IMPACT Automates meta-analysis, potentially accelerating biomedical research and evidence synthesis.

RANK_REASON The cluster contains a research paper detailing a new system for evidence synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

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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…

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

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