Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

This article was presented at the 2017 annual meeting of the American Association of Hip and Knee Surgeons to introduce the members gathered as the audience to the concepts behind artificial intelligence (AI) and the applications that AI can have in the world of health care today. We discuss the ori...

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Vydáno v:The Journal of arthroplasty Ročník 33; číslo 8; s. 2358 - 2361
Hlavní autor: Bini, Stefano A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 01.08.2018
Témata:
Algorithms
Artificial Intelligence
cognitive computing
Deep Learning
digital health
digital orthopedics
Humans
Machine Learning
Neural Networks (Computer)
Orthopedics - trends
Physicians
deep learning
cognitive computing
digital health
machine learning
digital orthopedics
artificial intelligence
ISSN:0883-5403, 1532-8406, 1532-8406
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Shrnutí:This article was presented at the 2017 annual meeting of the American Association of Hip and Knee Surgeons to introduce the members gathered as the audience to the concepts behind artificial intelligence (AI) and the applications that AI can have in the world of health care today. We discuss the origin of AI, progress to machine learning, and then discuss how the limits of machine learning lead data scientists to develop artificial neural networks and deep learning algorithms through biomimicry. We will place all these technologies in the context of practical clinical examples and show how AI can act as a tool to support and amplify human cognitive functions for physicians delivering care to increasingly complex patients. The aim of this article is to provide the reader with a basic understanding of the fundamentals of AI. Its purpose is to demystify this technology for practicing surgeons so they can better understand how and where to apply it.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0883-5403
1532-8406
1532-8406
DOI:10.1016/j.arth.2018.02.067