人工智能 - 皇帝的新衣服?
1Centre for Medical Ethics, Faculty of Medicine, University of Oslo, Norway.
Digital health
|November 1, 2024
概括
医学中的人工智能 (AI) 被夸大了,但算法已经使用了很长时间. 真正的AI进步需要展示实用的实用性,而不仅仅是新性.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 数十年来,算法一直是CT和MRI等医疗技术的组成部分.
- 从历史上看,心电图机的决策支持一直没有被注意到.
- 目前关于人工智能 (AI) 在医学上的话语以显著的作为特征.
研究的目的:
- 批判性地评估人工智能 (AI) 在医学领域的新性和影响.
- 提供关于医学的算法使用的历史视角.
- 倡导基于证据的AI在医疗保健中的实施.
主要方法:
- 医疗器械中的算法应用的历史分析.
- 传统算法与现代人工智能的比较评估.
- 关于人工智能在医学上所谓的革命性影响的文献综述.
主要成果:
- 多年来,算法原理一直是医学成像和诊断的基础.
- 人工智能代表了算法医学的加速,而不是一个全新的范式.
- 人工智能在医学中的独特价值主张还没有得到一致的证明.
结论:
- 人工智能在医学中的应用应该由已证明的实用性来驱动,而不是仅仅是新奇的存在.
- 从历史先例中学习至关重要,以避免屈服于围绕新技术的作.
- 要有效地将AI整合到临床实践中,需要一种批判性和基于证据的方法.
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