{"ID":2831853,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.08026","arxiv_id":"2512.08026","title":"Toward an AI Reasoning-Enabled System for Patient-Clinical Trial Matching","abstract":"Screening patients for clinical trial eligibility remains a manual, time-consuming, and resource-intensive process. We present a secure, scalable proof-of-concept system for Artificial Intelligence (AI)-augmented patient-trial matching that addresses key implementation challenges: integrating heterogeneous electronic health record (EHR) data, facilitating expert review, and maintaining rigorous security standards. Leveraging open-source, reasoning-enabled large language models (LLMs), the system moves beyond binary classification to generate structured eligibility assessments with interpretable reasoning chains that support human-in-the-loop review. This decision support tool represents eligibility as a dynamic state rather than a fixed determination, identifying matches when available and offering actionable recommendations that could render a patient eligible in the future. The system aims to reduce coordinator burden, intelligently broaden the set of trials considered for each patient and guarantee comprehensive auditability of all AI-generated outputs.","short_abstract":"Screening patients for clinical trial eligibility remains a manual, time-consuming, and resource-intensive process. We present a secure, scalable proof-of-concept system for Artificial Intelligence (AI)-augmented patient-trial matching that addresses key implementation challenges: integrating heterogeneous electronic h...","url_abs":"https://arxiv.org/abs/2512.08026","url_pdf":"https://arxiv.org/pdf/2512.08026v1","authors":"[\"Caroline N. Leach\",\"Mitchell A. Klusty\",\"Samuel E. Armstrong\",\"Justine C. Pickarski\",\"Kristen L. Hankins\",\"Emily B. Collier\",\"Maya Shah\",\"Aaron D. Mullen\",\"V. K. Cody Bumgardner\"]","published":"2025-12-08T20:35:51Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}