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◆ NPJ digital medicine2026-08-27

Ensuring trustworthy AI assisted guideline development for clinical practice.

Quan Zhang, Yuanyuan Fu

原始摘要(英文原文)· Original abstract
Li et al. introduce Quicker, an agentic large language model system that drafts clinical guideline recommendations through a GRADE-based workflow. Building on gaps in the authors' own evaluation, we propose safeguards for trustworthy use: verifiable, design-aware evidence bundles with explicit scope; calibrated, uncertainty-aware deferral; targeted human validation and modular quality gates; and governance against contamination and over-reliance. Trustworthiness, however, is necessary but not sufficient for clinician trust.
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Ensuring trustworthy AI assisted guideline development for clinical practice. — 科研速览 Science Skim