全国卫生人工智能保证实验室网络
Nigam H Shah1,2, John D Halamka2,3, Suchi Saria2,4,5,6
1Stanford Medicine, Palo Alto, California.
JAMA
|December 20, 2023
概括
迫切需要在医疗保健中使用人工智能 (AI) 的全国性保证程序. 一个公私的人工智能保证实验室网络可以确保人工智能模型在临床使用中公平,有效和安全.
科学领域:
- 医疗信息学
- 医学的人工智能
- 监管科学
背景情况:
- 严格的标准对于医疗保健中的人工智能模型至关重要.
- 现有的人工智能评估指南对于现有和新兴模型缺乏全国范围的应用.
- 目前没有公共,全国性的客观评估和持续监测临床环境中的健康AI系统.
研究的目的:
- 应对全国范围内确保人工智能在医疗保健中的公平性,适当性,有效性和安全性的紧急需要.
- 建议建立一个全国性的健康AI保证实验室网络.
- 促进健康人工智能模型的客观评估和持续评估.
主要方法:
- 概述了公私合作伙伴关系的必要性,
- 建议在该网络中应用社区最佳实践来测试健康AI模型.
- 建议为人工智能模型生命周期管理生成可广泛共享的绩效报告.
主要成果:
- 鉴定了人工智能评估标准在医疗保健中的全国性应用存在关键差距.
- 强调缺乏对健康人工智能的客观和持续评估的公共机制.
- 提出了一个合作网络的框架,以确保人工智能模型的可靠性和安全性.
结论:
- 一个由公私伙伴关系支持的全国卫生人工智能保证实验室网络是必不可少的.
- 这一网络将使人工智能模型的标准化测试和透明报告成为可能.
- 实施此类网络将支持在不同临床环境和人群中对人工智能的负责任生命周期管理.
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