Predicting Corrosion Damage in the Human Body Using Artificial Intelligence: In Vitro Progress and Future Applications.

Journal: The Orthopedic clinics of North America
PMID: 36894290

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.

Authors

  • Michael A Kurtz
    Department of Bioengineering, Clemson University, Clemson, SC, USA; The Clemson University-Medical University of South Carolina Bioengineering Program, 68 President Street, Charleston, SC 29425, USA.
  • Ruoyu Yang
    Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, USA.
  • Mohan S R Elapolu
    Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, USA.
  • Audrey C Wessinger
    Department of Bioengineering, Clemson University, Clemson, SC, USA; The Clemson University-Medical University of South Carolina Bioengineering Program, 68 President Street, Charleston, SC 29425, USA.
  • William Nelson
    Department of Bioengineering, Clemson University, Clemson, SC, USA; The Clemson University-Medical University of South Carolina Bioengineering Program, 68 President Street, Charleston, SC 29425, USA.
  • Kazzandra Alaniz
    Department of Bioengineering, Clemson University, Clemson, SC, USA; The Clemson University-Medical University of South Carolina Bioengineering Program, 68 President Street, Charleston, SC 29425, USA.
  • Rahul Rai
    Departments of1Mechanical & Aerospace Engineering.
  • Jeremy L Gilbert
    Department of Bioengineering, Clemson University, Clemson, SC, USA; The Clemson University-Medical University of South Carolina Bioengineering Program, 68 President Street, Charleston, SC 29425, USA. Electronic address: jlgilbe@clemson.edu.

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