最近对患者进行负责任和可解释的人工智能研究:对围产期精神病学的含义
Meghan Reading Turchioe1, Alison Hermann2, Natalie C Benda1
1School of Nursing, Columbia University School of Nursing, New York, NY, United States.
Frontiers in psychiatry
|February 2, 2024
概括
人工智能 (AI) 可以帮助预测和治疗围产期抑郁症. 对负责任的人工智能 (RAI) 和可解释的人工智能 (XAI) 的以患者为中心的方法至关重要,优先考虑患者的自主性和信任.
科学领域:
- 围产期心理健康问题
- 医疗保健中的人工智能
- 负责的人工智能伦理学
背景情况:
- 围产期抑郁症 (PD) 诊断不足,治疗不足.
- 人工智能为PD预测和治疗提供了潜在的解决方案.
- 当前的人工智能伦理讨论往往忽视了患者的积极作用.
研究的目的:
- 建议以患者为中心的方法来负责AI (RAI) 和可解释AI (XAI) 在产周护理中.
- 确定人工智能在围产期健康中的核心伦理原则.
- 提供患者对这些原则评价的证据.
主要方法:
- 文献审查和概念框架的开发.
- 在患者价值原则上展示经验证据.
- 为道德的人工智能实施提出设计解决方案的建议.
主要成果:
- 提出了一个以患者为中心的RAI/XAI框架.
- 自主,公益,正义,信任,隐私和透明度被确定为核心原则.
- 患者在AI互动中非常重视这些道德原则.
结论:
- 以患者为中心的方法对于围产期护理中的道德AI至关重要.
- 实施RAI和XAI需要优先考虑患者价值.
- 对于这些原则的实际应用,还需要进一步的研究.
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