在儿科医疗保健中对人工智能的治理
Felix Richter1,2,3,4,5, Emma Holmes1,2,3,4, Florian Richter6
1The Center for AI in Children's Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
NPJ digital medicine
|October 31, 2025
概括
儿科中的人工智能 (AI) 面临着治理挑战. 需要以儿科为中心的方法来安全地整合人工智能,解决同意,偏见和问责.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 儿科医学 儿科医学 儿科医学
- 人工智能治理治理的人工智能
背景情况:
- 人工智能 (AI) 正在彻底改变医疗保健服务.
- 儿童采用人工智能工具和相关的治理框架仍然不发达.
- 现有的人工智能治理模型缺乏针对儿科人口的具体考虑.
研究的目的:
- 审查医疗保健当前的人工智能治理框架.
- 确定人工智能采用和治理中的儿科特异性差距.
- 为人工智能集成提出以儿科为中心的治理方法.
主要方法:
- 审查现有的AI治理框架.
- 对儿科软件作为医疗器械 (SaMD) 批准的监管数据的分析.
- 确定儿科人工智能实施中的关键挑战.
主要成果:
- 儿科人工智能治理存在重大差距,包括利益相关者参与,同意/同意流程,偏见缓解和问责制.
- 放射学主导着FDA批准的儿科SaMD,其他专科落后.
- 目前的框架不足以满足儿科患者的独特需求.
结论:
- 以儿科为中心的治理模式对于将人工智能安全和负责任地整合到儿童医疗保健中至关重要.
- 关键组成部分包括透明度,包容性参与,公平的数据实践和强有力的部署后监控.
- 解决发现的差距将有助于在儿科中更广泛,更公平地采用人工智能.
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