Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis
Clinical evidence synthesis requires identifying relevant trials from large registries and aggregating results that account for population differences. While recent LLM-based approaches have automated components of systematic review, they do not support end-to-end evidence synthesis. Moreover, conventional meta-analysis weights studies by statistical precision without considering clinical compatibility reflected in eligibility criteria. We propose EligMeta, an agentic framework that integrates a
Record details
Published: 3 April 2026
Source: arXiv
Category: Research
Topics: Healthcare · Agents & autonomy · Biotech
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (3 April 2026), “Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis,” evidence record 6416, https://ethics.ai/record/6416 (originally published by arXiv).
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