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English(EN) Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach

人工智能在医疗保健领域:公众信任依赖于临床医生,而非仅仅是技术

一项利用结构方程模型的新研究分析了来自 3,915 名调查受访者的数据,以了解公众对人工智能在医疗保健领域看法的看法。研究发现,熟悉人工智能、对临床医生辨别人工智能生成内容的能力有信心以及使用对话代理获取健康信息与对人工智能决策的帮助性感知更大有关。相反,依赖传统健康信息来源和一般人工智能熟悉度与更高的感知风险有关。 AI

影响 公众对人工智能医疗工具的信任更多地取决于对人类监督的信心,而不是技术本身。

排序理由 学术论文发表在 arXiv 上,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

人工智能在医疗保健领域:公众信任依赖于临床医生,而非仅仅是技术

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学术论文发表在 arXiv 上,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Leonie Westerbeek, Ernesto de Leon, Julia C. M. van Weert ·

    公众对人工智能驱动的医疗决策的看法:一项结构方程模型研究

    arXiv:2607.18884v1 Announce Type: cross Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare to support diagnostics, decision-making, and administrative processes. However, the successful implementation of AI depends not only on technical performance …