机器学习与医学——简要介绍

Benjamin Lee, Christopher Peterson
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摘要

人工智能(AI)和机器学习(ML)近年来发展迅速,现在有可能改变医学。这篇综述是对人工智能及其改变医学的潜力的介绍。介绍了过去里程碑的具体例子,特别是在重症监护领域,包括已经开发的可以解释胸部x射线或预测临床结果(如拔管失败或ICU死亡率)的算法。书中简要讨论了人工智能是什么,它是如何制造的,以及医生将如何参与其中。然后提出了关于人工智能为什么不会让医生失业的争论,包括期望与现实,人工智能仍然需要人类监督,新发现带来新的挑战,人工智能不能自我设计。人工智能不仅不会取代医生,而且如果实施得当,它将使重复性任务自动化,使医生更准确,并使他们腾出更多时间与患者相处。
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Machine learning and medicine- a brief introduction
Artificial Intelligence (AI) and Machine Learning (ML) have advanced rapidly in recent years and now have the potential to change medicine. This review serves as an introduction to AI and the potential it has to change medicine. Specific examples of past milestones particularly in the domain of critical care are presented, including algorithms that have been developed that can interpret chest x-rays or predict clinical outcomes such as extubation failure or ICU mortality. Included is a brief general discussion of what AI is, how it is made, and how physicians will be involved with it. Arguments are then presented as to why AI will likely not leave physicians without a job, including expectations vs. reality, AI still requires human supervision, new discoveries bring new challenges, and AI cannot design itself. Far from displacing physicians, AI, if implemented well, stands poised to automate repetitive tasks, make physicians more accurate, and free them up to spend more time with patients.
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