Prevention of Work-Related Musculoskeletal Disorders supported by Artificial Intelligence

Firdaous Sekkay
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Abstract

In the industry 4.0 era, industrial production is designed to be more efficient, more flexible, and with higher quality. Besides, it is characterized by greater automation and computerization. However, in the industrial field, workers are still involved in many jobs requiring them to lift and move heavy items and other production activities that expose them to the associated risk factors for developing work-related musculoskeletal disorders (WMSDs). In physical ergonomics, studies have shown potential for preventing WMSDs through artificial intelligence (AI). In this regard, this literature review aims to establish the current state of art regarding the use of AI to reduce the risk of developing WMSDs. A literature review was carried out in two databases, and through the combination of keywords, 188 articles were found. Twenty-eight papers were retrieved and analyzed based on dimensions related to WMSDs risk factors, ergonomic criteria, and AI applications.
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人工智能支持下的与工作相关的肌肉骨骼疾病预防
在工业4.0时代,工业生产的目标是更高效、更灵活、更高质量。此外,它的特点是更大的自动化和计算机化。然而,在工业领域,工人仍然参与许多工作,要求他们举起和移动重物和其他生产活动,使他们暴露于发展与工作有关的肌肉骨骼疾病(WMSDs)的相关风险因素。在人体工程学方面,研究显示了通过人工智能(AI)预防wmsd的潜力。在这方面,本文献综述旨在建立关于使用人工智能来降低开发大规模杀伤性武器风险的最新技术。在两个数据库中进行文献综述,通过关键词组合,共找到188篇文章。根据wmsd风险因素、人体工程学标准和人工智能应用的相关维度,检索并分析了28篇论文。
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