论文标题
机器学习作为基于价值的医疗保健的催化剂
Machine Learning as a Catalyst for Value-Based Health Care
论文作者
论文摘要
在本手稿中，我们提出了一个论点，即通过减少临床决策错误的错误，机器学习是人工智能的一个子领域，可以推动基于价值的医疗保健的改善。先前在医学机器学习上发表的许多内容代表了一次性或概念验证案例，以及对机器学习的优势和局限性的广泛评论。及时研究医学中人工智能实施的更广泛的战略，并强调机器学习如何积极影响基于价值的护理。
In this manuscript, we present an argument that machine learning, a subfield of artificial intelligence, can drive improvement in value-based health care through reducing error in clinical decision making. Much of what has been previously published on machine learning in medicine represent single-use or proof-of-concept cases, as well as broad reviews of the advantages and limitations of machine learning. It is timely to look at the broader strategy for artificial intelligence implementation in medicine and emphasize how machine learning can positively influence value-based care.
