使用数字生物标志物和人工智能用于早期发现痴呆症时的伦理问题
Elizabeth Ford1, Richard Milne2,3, Keegan Curlewis4
1Department of Primary Care and Public Health Brighton and Sussex Medical School Brighton UK.
Wiley interdisciplinary reviews. Data mining and knowledge discovery
|March 5, 2024
概括
早期痴呆症检测的数字工具显示出希望,但尚未达到伦理查标准. 在广泛实施之前,必须解决准确性,公平性和患者支持方面的重大挑战.
科学领域:
- 医疗保健 医疗保健 医疗保健
- 伦理考虑 伦理考虑
- 人工智能的人工智能
背景情况:
- 痴呆症是一个日益增长的健康挑战,经常被污名化和未被认可.
- 早期痴呆症检测的数字技术正在出现,包括移动应用程序,传感器和临床数据上的AI.
- 早期检测可以改善患者的规划,生活质量以及获得治疗或试验的机会.
研究的目的:
- 评估部署用于早期痴呆症检测的数字工具的伦理可行性.
- 根据道德选计划的原则评估当前的数字技术.
主要方法:
- 对数字痴呆症检测技术的审查.
- 根据道德选计划原则进行评估.
主要成果:
- 当前的数字工具往往缺乏最小的侵入性和高精度.
- 部署风险会加剧由于数据偏差和数字访问不平等而导致的健康不平等.
- 早期检测的可接受性和必要的支持系统尚未建立.
结论:
- 规模化的数字痴呆症检测目前还不符合伦理查标准.
- 在治疗,可预测性,技术限制,公平性和支持方面,仍然存在重大挑战.
- 需要针对数字痴呆症检测工具的伦理实施提出建议.
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