对人工智能使用的伦理问题的叙述性审查使得糖尿病视网膜病变的诊断成为可能
Alexandra Crew1, Claire Reidy2, Helene-Mari van der Westhuizen2
1Department of Continuing Education, University of Oxford, Oxford, UK.
Journal of evaluation in clinical practice
|November 11, 2024
概括
用于糖尿病视网膜病变查的人工智能 (AI) 显示出预防失明的前景. 然而,关于数据保护,算法偏见和公平访问的伦理问题需要进一步的研究和实际解决方案,以获得成功的临床实施.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
背景情况:
- 糖尿病视网膜病变是全球可预防失明的主要原因.
- 查计划对于早期检测和管理至关重要.
- 人工智能 (AI) 为糖尿病视网膜病变提供了新的诊断能力.
研究的目的:
- 确定与人工智能支持的糖尿病视网膜病变诊断相关的伦理问题.
- 引导未来对眼睛护理人工智能道德问题的研究.
主要方法:
- 使用主题分析进行叙事审查.
- 在PubMed和Scopus数据库中搜索相关文献.
- 包括2013年至2024年间发表的初级研究文章.
主要成果:
- 关键的伦理问题包括患者数据保护和所有权.
- 在人工智能算法训练数据中最大限度地减少偏差至关重要.
- 确保患者做出明智的决策和减轻临床后果至关重要.
结论:
- 人工智能诊断的技术进步超过了道德考虑.
- 公平获取和防止剥削的保障需要更多的关注.
- 解决伦理问题对于人工智能来说至关重要,以大规模减少可预防的失明.
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