A randomized controlled trial involving 356 clinicians found that "atomic fact-checking" significantly increased trust in large language model recommendations for oncology decision support. This method decomposes AI-generated treatment suggestions into verifiable claims linked to source guidelines. The proportion of clinicians expressing trust rose from 26.9% to 66.5% with atomic fact-checking, a much larger effect than traditional transparency methods. AI
影响 Enhances clinician trust in AI-driven medical recommendations by providing verifiable claims, potentially improving adoption in high-stakes decision-making.
排序理由 The cluster contains an academic paper detailing a randomized controlled trial on AI trust.
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