Artificial intelligence in orthopaedics: A scoping review.
There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. A scoping...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260471&type=printable |
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| author | Simon J Federer Gareth G Jones |
| author_facet | Simon J Federer Gareth G Jones |
| author_sort | Simon J Federer |
| collection | DOAJ |
| description | There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. A scoping review, a form of structured evidence synthesis, was conducted to summarise the use of AI in orthopaedics. A literature search (1946-2019) identified 222 studies eligible for inclusion. These studies were predominantly small and retrospective. There has been significant growth in the number of papers published in the last three years, mainly from the USA (37%). The majority of research used AI for image interpretation (45%) or as a clinical decision tool (25%). Spine (43%), knee (23%) and hip (14%) were the regions of the body most commonly studied. The application of artificial intelligence to orthopaedics is growing. However, the scope of its use so far remains limited, both in terms of its possible clinical applications, and the sub-specialty areas of the body which have been studied. A standardized method of reporting AI studies would allow direct assessment and comparison. Prospective studies are required to validate AI tools for clinical use. |
| format | Article |
| id | doaj-art-fe4155081aec4d0ebe055841914ad9c0 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-fe4155081aec4d0ebe055841914ad9c02025-02-05T05:32:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-011611e026047110.1371/journal.pone.0260471Artificial intelligence in orthopaedics: A scoping review.Simon J FedererGareth G JonesThere is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. A scoping review, a form of structured evidence synthesis, was conducted to summarise the use of AI in orthopaedics. A literature search (1946-2019) identified 222 studies eligible for inclusion. These studies were predominantly small and retrospective. There has been significant growth in the number of papers published in the last three years, mainly from the USA (37%). The majority of research used AI for image interpretation (45%) or as a clinical decision tool (25%). Spine (43%), knee (23%) and hip (14%) were the regions of the body most commonly studied. The application of artificial intelligence to orthopaedics is growing. However, the scope of its use so far remains limited, both in terms of its possible clinical applications, and the sub-specialty areas of the body which have been studied. A standardized method of reporting AI studies would allow direct assessment and comparison. Prospective studies are required to validate AI tools for clinical use.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260471&type=printable |
| spellingShingle | Simon J Federer Gareth G Jones Artificial intelligence in orthopaedics: A scoping review. PLoS ONE |
| title | Artificial intelligence in orthopaedics: A scoping review. |
| title_full | Artificial intelligence in orthopaedics: A scoping review. |
| title_fullStr | Artificial intelligence in orthopaedics: A scoping review. |
| title_full_unstemmed | Artificial intelligence in orthopaedics: A scoping review. |
| title_short | Artificial intelligence in orthopaedics: A scoping review. |
| title_sort | artificial intelligence in orthopaedics a scoping review |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260471&type=printable |
| work_keys_str_mv | AT simonjfederer artificialintelligenceinorthopaedicsascopingreview AT garethgjones artificialintelligenceinorthopaedicsascopingreview |