首页|Department of Orthopedics Reports Findings in Robotics (Robotassisted versus tr aditional surgery in the treatment of intertrochanteric fractures: a meta-analys is)

Department of Orthopedics Reports Findings in Robotics (Robotassisted versus tr aditional surgery in the treatment of intertrochanteric fractures: a meta-analys is)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting from Cangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “Intramedullary nail fixation of i ntertrochanteric fractures assisted by orthopedic surgical robot navigation is a new surgical method, but there are few studies comparing its efficacy with trad itional intramedullary nail fixation. We aimed to assess whether robot-assisted internal fixation confers certain surgical advantages through a literature revie w.” The news correspondents obtained a quote from the research from the Department o f Orthopedics, “PubMed, EMBASE, Cochrane Library, China National Knowledge Infra structure (CNKI) and Wan fang Data Knowledge service Platform were searched to c ollect randomized and non-randomized studies on patients with calcaneal fracture s. Five studies were identified to compare the clinical indexes. For the clinica l indexes, the technology of robot-assisted is generally feasible, in time to op eration, intraoperative fluoroscopy times, blood loss, pine insertion, tip apex distance (TAD), and Harris score (P <0.05). However, on th e complication and excellent and good rate after operation did not show good eff icacy compared with the traditional group (P > 0.05). Ba sed on the current evidence, For the short-term clinical index, the advantages o f robot-assisted are clear. The long-term clinical effects of the two methods ar e also good, but the robot-assisted shows better.”

CangzhouPeople’s Republic of ChinaAs iaEmerging TechnologiesHealth and MedicineMachine LearningRobotRobotic sSurgery

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.3)