Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into use in healthcare, there needs to be a concerted effort around not just the creation, but also the delivery of AI. This AI “delivery science” will require a broader set of tools, such as design thinking, process improvement, and implementation science, as well as a broader definition of what AI will look like in practice, which includes not just machine learning models and their predictions, but also the new systems for care delivery that they enable. The careful design, implementation, and evaluation of these AI enabled systems will be important in the effort to understand how AI can improve healthcare.

中文翻译：

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开发医疗保健领域人工智能的交付科学。

人工智能 (AI) 在医疗保健领域引起了极大的关注，这主要是由日益准确的机器学习模型的出现推动的。然而，人工智能在现实世界中为患者护理提供可扩展且持续的价值的承诺尚未实现。为了安全有效地将人工智能应用于医疗保健领域，不仅需要围绕人工智能的创造，还需要围绕人工智能的交付共同努力。这种人工智能“交付科学”将需要更广泛的工具集，例如设计思维、流程改进和实施科学，以及对人工智能在实践中的样子的更广泛定义，其中不仅包括机器学习模型及其预测，以及它们所支持的新的护理服务系统。这些人工智能系统的精心设计、实施和评估对于理解人工智能如何改善医疗保健非常重要。