关于个体患者的数据驱动决策:医疗AI的案例
1Department of Food and Resource Economics, University of Copenhagen, Frederiksberg, Denmark.
Journal of evaluation in clinical practice
|July 26, 2023
概括
医疗保健中的人工智能 (AI) 算法依赖于统计证据,引发了人们对其适用于医疗决策和资源分配的担忧. 这项研究建议重新评估人工智能.
科学领域:
- 医学伦理 医学伦理
- 人工智能在医学中的应用
- 卫生资源分配 卫生资源分配
背景情况:
- 临床决策越来越多地利用算法来估计患者病情的可能性.
- 这些人工智能设备通常依赖于纯粹的统计证据.
- 在医疗实践中使用统计证据非常普遍.
研究的目的:
- 检查AI医学决策中的纯统计证据的认识价值.
- 质疑人工智能对医疗资源分配的依赖是否适当.
- 建议对人工智能设备和医学中的统计证据进行重新评估.
主要方法:
- 介绍从法律认识论从统计证据的认识价值的工作.
- 对用于医疗决策的AI设备的分析.
- 关于在医疗保健中依赖统计证据的论证.
主要成果:
- 某些用于医疗决策的AI设备被证明依赖于纯粹的统计证据.
- 这种依赖引发了关于这种AI的伦理和实际使用的重大问题.
- 这些发现挑战了当前AI在临床环境中的整合.
结论:
- 建议对医疗实践中普遍存在的AI设备进行批判性重新评估.
- 在医疗决策中使用统计证据需要仔细考虑.
- 为了适当地分配卫生资源,需要重新考虑人工智能的作用.
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