Article

AERO: An AI Agent for Adaptive Eligibility Refinement and Optimization of Clinical Trial Criteria in Real-World Trial Emulation

2026-05-01

Abstract excerpt

Randomized controlled trials (RCTs) provide high internal validity but often rely on restrictive eligibility criteria that limit generalizability and complicate real-world trial emulation. We propose AERO (AI Agent for Adaptive Eligibility Refinement and Optimization), an agentic framework that systematically adapts clinical trial eligibility criteria for application to electronic health record data. AERO integrat...

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Literature Corpus work: d45c8a65-a3dc-507b-b918-78691a3a71d0
DOI: 10.64898/2026.04.30.26352142

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