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患者对皮肤病学人工智能整合的看法:在多种护理方式中对信任,舒适和公平的横截面研究
Charlotte McRae1, Michael Anderson1, Laci Turner1
1The University of Alabama at Birmingham Heersink School of Medicine, Department of Dermatology, Birmingham, AL, USA.
Skin health and disease
|February 6, 2026
概括
患者更喜欢人工智能 (AI) 作为皮肤科医生的支持工具,而不是作为独立的决策者. 受理因人口统计学而异,突出显示了皮肤病学中需要公平的人工智能.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 和远程医疗正在改变皮肤病学.
- 了解患者对人工智能集成的看法对于负责任的实施至关重要.
研究的目的:
- 评估患者对皮肤病学AI在五种护理模式中的看法.
- 检查人口因素如何影响皮肤病学中人工智能接受.
主要方法:
- 在美国一家学术性皮肤病诊所对130名成年人的横截面调查.
- 评级的信任,舒适,感知质量,隐私和对人工智能的信心在三个模式:独立的AI应用程序,人工智能辅助的面对面访问和人工智能辅助的远程医疗访问.
- 分析了使用ANOVA和使用逻辑和线性回归的接受预测器的感知.
主要成果:
- 患者强烈喜欢皮肤科医生参与的AI (73.8%的信任) 超过独立的AI应用 (1.5%的信任).
- 与人工智能应用程序相比,人工智能辅助远程医疗和面对面访问的舒适度和感知公平性表现更高 (P < 0.001).
- 较深的肤色和黑人种族预测人工智能接受率较低 (P=0.01,P=0.003),而对技术的熟悉性预测了更高的接受率 (P=0.05).
结论:
- 患者更喜欢人工智能作为临床支持,而不是自主决策者,特别是在敏感或高风险问题上.
- 种族和肤色接受的差异需要改进数据集和透明的沟通.
- 皮肤病学未来的人工智能开发应优先考虑临床医生/患者参与,公平性和患者选择,以建立信任.
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