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

Autor:	Kurtz MA; 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., Yang R; Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, USA., Elapolu MSR; Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, USA., Wessinger AC; 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., Nelson W; 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., Alaniz K; 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., Rai R; Department of Automotive Engineering, Clemson University, 4 Research Drive, Greenville, SC 29607, USA., Gilbert JL; 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.
Jazyk:	angličtina
Zdroj:	The Orthopedic clinics of North America [Orthop Clin North Am] 2023 Apr; Vol. 54 (2), pp. 169-192. Date of Electronic Publication: 2023 Jan 31.
DOI:	10.1016/j.ocl.2022.11.004
Abstrakt:	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. (Copyright © 2022 Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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