Artificial intelligence in knee arthroplasty: current concept of the available clinical applications
Abstract Background Artificial intelligence (AI) is defined as the study of algorithms that allow machines to reason and perform cognitive functions such as problem-solving, objects, images, word recognition, and decision-making. This study aimed to review the published articles and the comprehensiv...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-05-01
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| Series: | Arthroplasty |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42836-022-00119-6 |
| _version_ | 1811305234110087168 |
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| author | Cécile Batailler Jobe Shatrov Elliot Sappey-Marinier Elvire Servien Sébastien Parratte Sébastien Lustig |
| author_facet | Cécile Batailler Jobe Shatrov Elliot Sappey-Marinier Elvire Servien Sébastien Parratte Sébastien Lustig |
| author_sort | Cécile Batailler |
| collection | DOAJ |
| description | Abstract Background Artificial intelligence (AI) is defined as the study of algorithms that allow machines to reason and perform cognitive functions such as problem-solving, objects, images, word recognition, and decision-making. This study aimed to review the published articles and the comprehensive clinical relevance of AI-based tools used before, during, and after knee arthroplasty. Methods The search was conducted through PubMed, EMBASE, and MEDLINE databases from 2000 to 2021 using the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA). Results A total of 731 potential articles were reviewed, and 132 were included based on the inclusion criteria and exclusion criteria. Some steps of the knee arthroplasty procedure were assisted and improved by using AI-based tools. Before surgery, machine learning was used to aid surgeons in optimizing decision-making. During surgery, the robotic-assisted systems improved the accuracy of knee alignment, implant positioning, and ligamentous balance. After surgery, remote patient monitoring platforms helped to capture patients’ functional data. Conclusion In knee arthroplasty, the AI-based tools improve the decision-making process, surgical planning, accuracy, and repeatability of surgical procedures. |
| first_indexed | 2024-04-13T08:21:46Z |
| format | Article |
| id | doaj.art-df2a30a084c842109139e1e0ce8955dc |
| institution | Directory Open Access Journal |
| issn | 2524-7948 |
| language | English |
| last_indexed | 2024-04-13T08:21:46Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Arthroplasty |
| spelling | doaj.art-df2a30a084c842109139e1e0ce8955dc2022-12-22T02:54:38ZengBMCArthroplasty2524-79482022-05-014111610.1186/s42836-022-00119-6Artificial intelligence in knee arthroplasty: current concept of the available clinical applicationsCécile Batailler0Jobe Shatrov1Elliot Sappey-Marinier2Elvire Servien3Sébastien Parratte4Sébastien Lustig5Orthopaedic Surgery and Sports Medicine Department, Croix-Rousse Hospital, Lyon University HospitalOrthopaedic Surgery and Sports Medicine Department, Croix-Rousse Hospital, Lyon University HospitalOrthopaedic Surgery and Sports Medicine Department, Croix-Rousse Hospital, Lyon University HospitalOrthopaedic Surgery and Sports Medicine Department, Croix-Rousse Hospital, Lyon University HospitalInternational Knee and Joint CentreOrthopaedic Surgery and Sports Medicine Department, Croix-Rousse Hospital, Lyon University HospitalAbstract Background Artificial intelligence (AI) is defined as the study of algorithms that allow machines to reason and perform cognitive functions such as problem-solving, objects, images, word recognition, and decision-making. This study aimed to review the published articles and the comprehensive clinical relevance of AI-based tools used before, during, and after knee arthroplasty. Methods The search was conducted through PubMed, EMBASE, and MEDLINE databases from 2000 to 2021 using the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA). Results A total of 731 potential articles were reviewed, and 132 were included based on the inclusion criteria and exclusion criteria. Some steps of the knee arthroplasty procedure were assisted and improved by using AI-based tools. Before surgery, machine learning was used to aid surgeons in optimizing decision-making. During surgery, the robotic-assisted systems improved the accuracy of knee alignment, implant positioning, and ligamentous balance. After surgery, remote patient monitoring platforms helped to capture patients’ functional data. Conclusion In knee arthroplasty, the AI-based tools improve the decision-making process, surgical planning, accuracy, and repeatability of surgical procedures.https://doi.org/10.1186/s42836-022-00119-6Knee arthroplastyArtificial intelligenceMachine learningPredictive modelsAugmented realityRobotic surgery |
| spellingShingle | Cécile Batailler Jobe Shatrov Elliot Sappey-Marinier Elvire Servien Sébastien Parratte Sébastien Lustig Artificial intelligence in knee arthroplasty: current concept of the available clinical applications Arthroplasty Knee arthroplasty Artificial intelligence Machine learning Predictive models Augmented reality Robotic surgery |
| title | Artificial intelligence in knee arthroplasty: current concept of the available clinical applications |
| title_full | Artificial intelligence in knee arthroplasty: current concept of the available clinical applications |
| title_fullStr | Artificial intelligence in knee arthroplasty: current concept of the available clinical applications |
| title_full_unstemmed | Artificial intelligence in knee arthroplasty: current concept of the available clinical applications |
| title_short | Artificial intelligence in knee arthroplasty: current concept of the available clinical applications |
| title_sort | artificial intelligence in knee arthroplasty current concept of the available clinical applications |
| topic | Knee arthroplasty Artificial intelligence Machine learning Predictive models Augmented reality Robotic surgery |
| url | https://doi.org/10.1186/s42836-022-00119-6 |
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