AutoSynthesis: An agentic system for automated meta-analysis
Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largely manual and difficult to scale. Here, we introduce AutoSynthesis, an end-to-end multi-agent system for automated meta-analysis. Given a research question in natural language, AutoSynthesis formulates a search strategy, retrieves scientific literature, screens candidate studies, assesses full-text eligibility, extracts
Record details
Published: 16 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Children & education · Agents & autonomy
Retrieved: 18 July 2026
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How to cite this record
ethics.ai (16 July 2026), “AutoSynthesis: An agentic system for automated meta-analysis,” evidence record 11345, https://ethics.ai/record/11345 (originally published by arXiv).
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This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.