{"title":"Artificial Intelligence (AI): A Potential Game Changer in Regenerative Orthopedics—A Scoping Review","authors":"Raju Vaishya, Sakshi Dhall, Abhishek Vaish","doi":"10.1007/s43465-024-01189-1","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and Aims</h3><p>Regenerative orthopedics involves approaches like stem cell therapy, platelet-rich plasma (PRP) therapy, the use of biological scaffold implants, tissue engineering, etc. We aim to present a scoping review of the role of artificial intelligence (AI) in different treatment approaches of regenerative orthopedics.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Using the PRISMA guidelines, a search for articles for the last ten years (2013–2024) on PubMed was done, using several keywords. We have discussed the state-of-the-art, strengths/benefits, and limitations of the published research, and provide a useful resource for the way ahead in future for researchers working in this area.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Using the eligibility criteria out of 82 initially screened publications, we included 18 studies for this review. We noticed that the treatment responses to regenerative treatments depend on several factors; hence, to facilitate better comprehensive and patient-specific treatments, AI technology is very useful. Machine learning (ML) and deep learning (DL) are a few of the most frequently used AI techniques. They use a data-driven approach for training models to make human-like decisions. Data are fed to the ML/DL algorithm and the trained model makes classifications or predictions based on its learning.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The area of regenerative orthopedics is highly sophisticated and significantly aids in providing cost-effective and non-invasive treatments to patients suffering from orthopedic ailments and injuries. Due to its promising future, the use of AI in regenerative orthopedics is an emerging and promising research field; however, its universal clinical applications are associated with some ethical considerations, which need addressing.</p><h3 data-test=\"abstract-sub-heading\">Graphical Abstract</h3>\n","PeriodicalId":13338,"journal":{"name":"Indian Journal of Orthopaedics","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Orthopaedics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s43465-024-01189-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background and Aims
Regenerative orthopedics involves approaches like stem cell therapy, platelet-rich plasma (PRP) therapy, the use of biological scaffold implants, tissue engineering, etc. We aim to present a scoping review of the role of artificial intelligence (AI) in different treatment approaches of regenerative orthopedics.
Methods
Using the PRISMA guidelines, a search for articles for the last ten years (2013–2024) on PubMed was done, using several keywords. We have discussed the state-of-the-art, strengths/benefits, and limitations of the published research, and provide a useful resource for the way ahead in future for researchers working in this area.
Results
Using the eligibility criteria out of 82 initially screened publications, we included 18 studies for this review. We noticed that the treatment responses to regenerative treatments depend on several factors; hence, to facilitate better comprehensive and patient-specific treatments, AI technology is very useful. Machine learning (ML) and deep learning (DL) are a few of the most frequently used AI techniques. They use a data-driven approach for training models to make human-like decisions. Data are fed to the ML/DL algorithm and the trained model makes classifications or predictions based on its learning.
Conclusion
The area of regenerative orthopedics is highly sophisticated and significantly aids in providing cost-effective and non-invasive treatments to patients suffering from orthopedic ailments and injuries. Due to its promising future, the use of AI in regenerative orthopedics is an emerging and promising research field; however, its universal clinical applications are associated with some ethical considerations, which need addressing.
期刊介绍:
IJO welcomes articles that contribute to Orthopaedic knowledge from India and overseas. We publish articles dealing with clinical orthopaedics and basic research in orthopaedic surgery. Articles are accepted only for exclusive publication in the Indian Journal of Orthopaedics. Previously published articles, articles which are in peer-reviewed electronic publications in other journals, are not accepted by the Journal. Published articles and illustrations become the property of the Journal. The copyright remains with the journal. Studies must be carried out in accordance with World Medical Association Declaration of Helsinki.