Michael T. Hirschmann, Rüdiger von Eisenhart-Rothe, Heiko Graichen, Stefano Zaffagnini
{"title":"AI may enable robots to make a clinical impact in total knee arthroplasty, where navigation has not!","authors":"Michael T. Hirschmann, Rüdiger von Eisenhart-Rothe, Heiko Graichen, Stefano Zaffagnini","doi":"10.1002/jeo2.70061","DOIUrl":null,"url":null,"abstract":"<p>Total knee arthroplasty (TKA) is on the verge of being revolutionized by artificial intelligence (AI), which will make it possible for robots to have a clinical influence in areas where navigation systems have been rendered ineffective. Navigation has been shown to increase surgical accuracy; nevertheless, it has not been shown to provide major gains in terms of clinical outcome for the patient. On the other hand, robotic systems that are powered by artificial intelligence have the potential to improve functional outcomes, boost precision, and tailor procedures to the specific anatomy of each unique patient. Through the utilization of real-time data and prediction algorithms, artificial intelligence-guided robots have the potential to overcome the limits of conventional approaches, thereby establishing a new benchmark for TKA.</p>","PeriodicalId":36909,"journal":{"name":"Journal of Experimental Orthopaedics","volume":"11 4","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11489858/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Orthopaedics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jeo2.70061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Total knee arthroplasty (TKA) is on the verge of being revolutionized by artificial intelligence (AI), which will make it possible for robots to have a clinical influence in areas where navigation systems have been rendered ineffective. Navigation has been shown to increase surgical accuracy; nevertheless, it has not been shown to provide major gains in terms of clinical outcome for the patient. On the other hand, robotic systems that are powered by artificial intelligence have the potential to improve functional outcomes, boost precision, and tailor procedures to the specific anatomy of each unique patient. Through the utilization of real-time data and prediction algorithms, artificial intelligence-guided robots have the potential to overcome the limits of conventional approaches, thereby establishing a new benchmark for TKA.