A brief history of artificial intelligence and robotic surgery in orthopedics & traumatology and future expectations

dc.contributor.authorBeyaz, Salih
dc.contributor.orcID0000-0002-5788-5116en_US
dc.contributor.pubmedID32962606en_US
dc.contributor.researcherIDK-8820-2019en_US
dc.date.accessioned2021-04-29T08:28:30Z
dc.date.available2021-04-29T08:28:30Z
dc.date.issued2020
dc.description.abstractRecently. the rate of the production and renewal of information makes it almost impossible to be updated. It is quite difficult to process and interpret large amounts of data by human beings. Unlimited memory capacities. learning abilities, artificial intelligence (AI) applications, and robotic surgery techniques cause orthopedic surgeons to be concerned about losing their jobs. The idea of AI. which was first introduced in 1956. has evolved over time by revealing deep learning and evolutionary plexus that can mimic the human neuron cell. Image processing is the leading improvement in developed algorithms. Theoretically. these algorithms appear to be quite successful in interpreting medical images and orthopedic decision support systems for preoperative evaluation. Robotic surgeons have emerged as significant competitors in carrying out the taken decisions. The first robotic applications of orthopedic surgery started in 1992 with the ROBODOC system. Applications started with hip arthroplasty continued with knee arthroplasty. Publications indicate that problems such as blood loss and infection caused by the long operation time in the early stages have been overcome in time with the help of learning systems. Comparative studies conducted with humans indicate that robots are better than humans in providing limb lengthening, patient satisfaction, and cost. As in all new technologies, the developments in both AI applications and robotics surgery indicate that technology is in favor in terms of cost/benefit analyses. Although studies indicate that new technologies are more successful than humans, the replacement of technology with experience and long-term results with traditional methods will not be observed in the near future.en_US
dc.identifier.endpage655en_US
dc.identifier.issn2687-4784en_US
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85091581052en_US
dc.identifier.startpage653en_US
dc.identifier.urihttps://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=E3V5riSPiJ4L6X6DkYx&page=7&doc=326
dc.identifier.urihttp://hdl.handle.net/11727/5820
dc.identifier.volume31en_US
dc.identifier.wos000573941100039en_US
dc.language.isoengen_US
dc.relation.isversionof10.5606/ehc.2020.75300en_US
dc.relation.journalJOINT DISEASES AND RELATED SURGERYen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectdecision supporten_US
dc.subjectrobotic surgeryen_US
dc.titleA brief history of artificial intelligence and robotic surgery in orthopedics & traumatology and future expectationsen_US
dc.typereviewen_US

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