Faraz Farhadi, Matthew R Barnes, Harun R Sugito, Jessica M Sin, Eric R Henderson, Joshua J Levy
{"title":"Applications of artificial intelligence in orthopaedic surgery.","authors":"Faraz Farhadi, Matthew R Barnes, Harun R Sugito, Jessica M Sin, Eric R Henderson, Joshua J Levy","doi":"10.3389/fmedt.2022.995526","DOIUrl":null,"url":null,"abstract":"<p><p>The practice of medicine is rapidly transforming as a result of technological breakthroughs. Artificial intelligence (AI) systems are becoming more and more relevant in medicine and orthopaedic surgery as a result of the nearly exponential growth in computer processing power, cloud based computing, and development, and refining of medical-task specific software algorithms. Because of the extensive role of technologies such as medical imaging that bring high sensitivity, specificity, and positive/negative prognostic value to management of orthopaedic disorders, the field is particularly ripe for the application of machine-based integration of imaging studies, among other applications. Through this review, we seek to promote awareness in the orthopaedics community of the current accomplishments and projected uses of AI and ML as described in the literature. We summarize the current state of the art in the use of ML and AI in five key orthopaedic disciplines: joint reconstruction, spine, orthopaedic oncology, trauma, and sports medicine.</p>","PeriodicalId":12599,"journal":{"name":"Frontiers in Medical Technology","volume":"4 ","pages":"995526"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797865/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medical Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fmedt.2022.995526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The practice of medicine is rapidly transforming as a result of technological breakthroughs. Artificial intelligence (AI) systems are becoming more and more relevant in medicine and orthopaedic surgery as a result of the nearly exponential growth in computer processing power, cloud based computing, and development, and refining of medical-task specific software algorithms. Because of the extensive role of technologies such as medical imaging that bring high sensitivity, specificity, and positive/negative prognostic value to management of orthopaedic disorders, the field is particularly ripe for the application of machine-based integration of imaging studies, among other applications. Through this review, we seek to promote awareness in the orthopaedics community of the current accomplishments and projected uses of AI and ML as described in the literature. We summarize the current state of the art in the use of ML and AI in five key orthopaedic disciplines: joint reconstruction, spine, orthopaedic oncology, trauma, and sports medicine.
由于技术上的突破,医疗实践正在迅速发生变化。由于计算机处理能力、基于云的计算以及特定医疗任务软件算法的开发和完善几乎呈指数级增长,人工智能(AI)系统在医学和骨科手术中的作用越来越大。医学影像等技术为骨科疾病的管理带来了高灵敏度、高特异性和高阳性/阴性预后价值,因此,在该领域应用基于机器的影像研究整合及其他应用的时机尤为成熟。通过这篇综述,我们希望提高骨科界对人工智能和 ML 的当前成就和预期用途的认识,正如文献中所描述的那样。我们总结了人工智能和 ML 在五个关键骨科学科中的应用现状:关节重建、脊柱、肿瘤骨科、创伤和运动医学。