AI & Computingarticle2026-09-19

Toward reviewable medical evidence synthesis for care delivery

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Abstract

Abstract Large language model systems can retrieve and cite medical evidence, yet their outputs may remain difficult to review during care. We define reviewability through evidence adequacy for action-changing claims, exact source verification, and presentation matched to a specified reviewer and decision point. We propose a workflow-adaptive framework with a stable audit core, claim-specific stopping and escalation, and technical and human-factors evaluation.

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View paper (DOI)Open access versionOpenAlexnpj Digital MedicinePublished 2026-09-19

Authors: Zonghai Yao, Hong Yu

Institutions: University of Massachusetts Amherst, University of Massachusetts Lowell, Bedford VA Research Corporation