本文由小咖机器人翻译整理

期刊来源：JAMA

原文链接：https://doi.org/10.1001/jama.2023.26930

摘要内容如下：

重要性

鉴于医疗保健中使用的人工智能（AI）模型所需的严格开发和评估标准的重要性，迫切需要在全国范围内采用公认的程序，以确保人工智能的使用是公平、适当、有效和安全的。

观察

虽然在制定评估人工智能的标准和最佳实践方面做出了一些努力，但在制定此类指导和将此类指导应用于正在开发的现有和新的人工智能模型之间存在差距。到目前为止，还没有公开可用的全国性机制，能够对在临床护理环境中使用健康人工智能模型的后果进行客观评估和持续评估。

结论和相关性

这里概述了创建一个政府与社会资本合作来支持全国健康AI保证实验室网络的需求。在这个网络中，社区最佳实践可以应用于测试健康人工智能模型，以生成关于其性能的报告，这些报告可以广泛共享，以管理人工智能模型随时间变化的生命周期，以及跨部署这些模型的人群和站点。

英文原文如下：

Abstracts

Importance  Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, effective, and safe are urgently needed.

Observations  While there are several efforts to develop standards and best practices to evaluate AI, there is a gap between having such guidance and the application of such guidance to both existing and new AI models being developed. As of now, there is no publicly available, nationwide mechanism that enables objective evaluation and ongoing assessment of the consequences of using health AI models in clinical care settings.

Conclusion and Relevance  The need to create a public-private partnership to support a nationwide health AI assurance labs network is outlined here. In this network, community best practices could be applied for testing health AI models to produce reports on their performance that can be widely shared for managing the lifecycle of AI models over time and across populations and sites where these models are deployed.

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