Evaluation and Real-World Performance Monitoring of Artificial Intelligence Models in Clinical Practice: Try It, Buy It, Check It
Evaluation and Real-World Performance Monitoring of Artificial Intelligence Models in Clinical Practice: Try It, Buy It, Check It
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DOI：
10.1016/j.jacr.2021.08.022
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发表时间：
2021-11-01
影响因子：
4.5
通讯作者：
Wald, Christoph
中科院分区：
文献类型：
--
作者：
Allen, Bibb;Dreyer, Keith;Wald, Christoph
放射学人工智能(AI)算法的监管审批步伐继续加快，许多算法正可用于临床实践。放射学人工智能的最终用户应该意识到，当人工智能算法在他们接受培训的机构之外使用时，可能不会像预期的那样工作，并且模型的性能可能会随着时间的推移而下降。在这篇文章中，我们讨论为什么仅有监管许可可能不足以确保人工智能在所有放射实践中安全有效，并审查可用于临床使用前评估和监测人工智能模型性能以确保疗效和患者安全的可用资源。
The pace of regulatory clearance of artificial intelligence (AI) algorithms for radiology continues to accelerate, and numerous algorithms are becoming available for use in clinical practice. End users of AI in radiology should be aware that AI algorithms may not work as expected when used beyond the institutions in which they were trained, and model performance may degrade over time. In this article, we discuss why regulatory clearance alone may not be enough to ensure AI will be safe and effective in all radiological practices and review strategies available resources for evaluating before clinical use and monitoring performance of AI models to ensure efficacy and patient safety.