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A Layered Taxonomy of AI-Driven Patient–Trial Matching: From Rules to Agents and the Evaluation-Validity Gap

2026-08-05

Abstract excerpt

Manually matching patients to complex clinical-trial eligibility criteria is a long-standing bottleneck in clinical research, and the AI systems built to address it have multiplied without a shared vocabulary for what they actually do. This perspective organizes that work as a stack of six interoperating capability layers, running from deterministic rule-based filtering up to agentic clinical workflows, rather tha...

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Literature Corpus work
d62c8e96-a099-5f9a-8818-c827056239fb
DOI
10.20944/preprints202608.0258.v1
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A Layered Taxonomy of AI-Driven Patient–Trial Matching: From Rules to Agents and the Evaluation-Validity GapDOI 10.20944/preprints202608.0258.v1
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