Artificial intelligence in orthopedic surgery: evolution, current state and future directions

被引:0
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作者
Andrew P. Kurmis
Jamie R. Ianunzio
机构
[1] University of Adelaide,Discipline of Medical Specialties
[2] Lyell McEwin Hospital,Department of Orthopaedic Surgery
[3] University of Adelaide,School of Medicine
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关键词
Artificial intelligence; Arthroplasty; AI; Machine learning;
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摘要
Technological advances continue to evolve at a breath-taking pace. Computer-navigation, robot-assistance and three-dimensional digital planning have become commonplace in many parts of the world. With near exponential advances in computer processing capacity, and the advent, progressive understanding and refinement of software algorithms, medicine and orthopaedic surgery have begun to delve into artificial intelligence (AI) systems. While for some, such applications still seem in the realm of science fiction, these technologies are already in selective clinical use and are likely to soon see wider uptake. The purpose of this structured review was to provide an understandable summary to non-academic orthopaedic surgeons, exploring key definitions and basic development principles of AI technology as it currently stands. To ensure content validity and representativeness, a structured, systematic review was performed following the accepted PRISMA principles. The paper concludes with a forward-look into heralded and potential applications of AI technology in orthopedic surgery.
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