Robotics & Machine Learning Daily News2024,Issue(Jun.26) :80-81.

Department of General Surgery Reports Findings in Robotics (General surgeons' oc cupational musculoskeletal injuries: A systematic review)

普通外科报告机器人的发现(普通外科医生的OC杯状肌肉骨骼损伤:系统回顾)

Robotics & Machine Learning Daily News2024,Issue(Jun.26) :80-81.

Department of General Surgery Reports Findings in Robotics (General surgeons' oc cupational musculoskeletal injuries: A systematic review)

普通外科报告机器人的发现(普通外科医生的OC杯状肌肉骨骼损伤:系统回顾)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于机器人的新研究是一份报告的主旨。根据sRx新编辑在英国伦敦发布的新闻报道,研究表明:“外科医生预计要在歌剧院长时间工作。在医疗保健行业中,与工作相关的肌肉骨骼(WRMSK)损伤和疼痛的发生率很高。”我们的新闻记者从普通外科的研究中获得了一句话:“我们的目的是研究普通外科医生的WRMSK疼痛和损伤,并研究他们在不同手术技术中的风险,包括开放的,开放的。”腹腔镜IC和机器人辅助手术。按照PRISMA检查表进行系统搜索。在PubMed和Cochrane图书馆数据库中进行了6年至2024年的搜索。使用的搜索词为“残疾和surgeo N”、“职业伤害和外科医生”和“肌肉骨骼疼痛和外科医生”。除了PubMed数据库中的MESH术语外,还计算了一些研究的偏倚风险。检索显示3648篇引文,在应用纳入和排除标准后,纳入了24篇引文的最终列表。这些引文包括1900多名外科医生,包括来自不同亚专业的顾问和外科实习生。纳入的引文包括21篇交叉的3项观察性研究。最常见的疼痛部位,揭示了MSK损伤的风险和预防措施。普通外科医生中WRMSK疼痛的发生率很高。外科医生主要受身体部位的影响,从颈部、肩部、上背部和下背部到上肢。

Abstract

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 out of London, United Kingdom, by New sRx editors, research stated, "Surgeons are expected to work long hours in opera ting theatres. A high prevalence of work-related musculoskeletal (WRMSK) injurie s and pain in healthcare professions exists." Our news journalists obtained a quote from the research from the Department of G eneral Surgery, "We aimed to study WRMSK pain and injuries in general surgeons a nd study their risk in different surgical techniques comprising open, laparoscop ic and robotic-assisted surgery. A systematic search was performed in compliance with The PRISMA checklist. Search was performed in PubMed and Cochrane library databases for 6 years to 2024. The search terms used were 'disability and surgeo n', 'occupational injuries and surgeon', and 'musculoskeletal pain and surgeons' , in addition to MESH terms in PubMed database. Risk of bias was calculated amon g studies. The search revealed 3648 citations from which a final list of 24 cita tions were included after application of inclusion and exclusion criteria. The c itations comprised over 1900 surgeons including consultants and surgical trainee s from different subspecialities. Incorporated citations consisted of 21 cross-s ectional 3 observational studies. Most common pain sites, risks and preventative measure for MSK injuries were revealed. There is high prevalence of WRMSK pain among general surgeons. Surgeons were primarily affected at physical body parts ranging from the neck, shoulders, upper back and lower back to upper extremity."

Key words

London/United Kingdom/Europe/Emerging Technologies/Health and Medicine/Machine Learning/Robotics/Robots/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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