Abstract：
Artificial intelligence (AI) is used in the clinic to improve patient care. While the successes illustrate AI\'s impact, few studies have led to improved clinical outcomes. In this review, we focus on how AI models implemented in nonorthopedic fields of corrosion science may apply to the study of orthopedic alloys. We first define and introduce fundamental AI concepts and models, as well as physiologically relevant corrosion damage modes. We then systematically review the corrosion/AI literature. Finally, we identify several AI models that may be implemented to study fretting, crevice, and pitting corrosion of titanium and cobalt chrome alloys.
摘要：
人工智能（AI）在临床中用于改善患者护理。虽然这些成功说明了人工智能的影响，很少有研究能改善临床结局.在这次审查中,我们专注于在腐蚀科学的非骨科领域实施的AI模型如何应用于骨科合金的研究。我们首先定义并介绍基本的AI概念和模型，以及生理相关的腐蚀损伤模式。然后，我们系统地回顾了腐蚀/人工智能文献。最后,我们确定了几个可以用来研究烦恼的人工智能模型，裂缝,钛和钴铬合金的点蚀。
