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

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 understandin...

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Autores principales: Kurmis, Andrew P., Ianunzio, Jamie R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889658/
https://www.ncbi.nlm.nih.gov/pubmed/35232490
http://dx.doi.org/10.1186/s42836-022-00112-z
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author Kurmis, Andrew P.
Ianunzio, Jamie R.
author_facet Kurmis, Andrew P.
Ianunzio, Jamie R.
author_sort Kurmis, Andrew P.
collection PubMed
description 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. While not intended to be a detailed technical description of the complex processing that underpins AI applications, this work will take a small step forward in demystifying some of the commonly-held misconceptions regarding AI and its potential benefits to patients and surgeons. With evidence-supported broader awareness, we aim to foster an open-mindedness among clinicians toward such technologies in the future.
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spelling pubmed-88896582022-03-09 Artificial intelligence in orthopedic surgery: evolution, current state and future directions Kurmis, Andrew P. Ianunzio, Jamie R. Arthroplasty Review 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. While not intended to be a detailed technical description of the complex processing that underpins AI applications, this work will take a small step forward in demystifying some of the commonly-held misconceptions regarding AI and its potential benefits to patients and surgeons. With evidence-supported broader awareness, we aim to foster an open-mindedness among clinicians toward such technologies in the future. BioMed Central 2022-03-02 /pmc/articles/PMC8889658/ /pubmed/35232490 http://dx.doi.org/10.1186/s42836-022-00112-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Kurmis, Andrew P.
Ianunzio, Jamie R.
Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title_full Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title_fullStr Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title_full_unstemmed Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title_short Artificial intelligence in orthopedic surgery: evolution, current state and future directions
title_sort artificial intelligence in orthopedic surgery: evolution, current state and future directions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889658/
https://www.ncbi.nlm.nih.gov/pubmed/35232490
http://dx.doi.org/10.1186/s42836-022-00112-z
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