{"title":"人工智能促进职业健康与安全:发展概述","authors":"Immad A Shah, SukhDev Mishra","doi":"10.1093/joccuh/uiad017","DOIUrl":null,"url":null,"abstract":"\n Objectives: In an era characterized by dynamic technological advancements, the well-being of the workforce remains a cornerstone of progress and sustainability. Evolving industrial landscape in modern world have had a considerable influence on Occupational Health and Safety (OHS). Ensuring the wellbeing of workers and creating safe working environments are not only ethical imperatives but also integral to maintaining operational efficiency and productivity. We aim to review the advancements that have taken place with a potential to reshape workplace safety with integration of AI-driven new technologies to prevent occupational diseases and safety solutions.\n Methods: The published literature was identified using scientific databases of Embase, PubMed and Google scholar including a time lower bound as 1974 to capture chronological advances in occupational disease detection and technological solution employed in industrial setups.\n Results: AI-driven technologies are revolutionizing how organizations approach health and safety, offering predictive insights, real-time monitoring, and risk mitigation strategies that not only minimize accidents and hazards but also pave the way for a more proactive and responsive approach to safeguarding the workforce.\n Conclusion: As industries embrace the transformative potential of Artificial Intelligence (AI), a new frontier of possibilities emerges for enhancing workplace safety. This synergy between OHS and AI marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces.","PeriodicalId":16632,"journal":{"name":"Journal of Occupational Health","volume":"51 19","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in advancing the Occupational Health and Safety: An encapsulation of developments\",\"authors\":\"Immad A Shah, SukhDev Mishra\",\"doi\":\"10.1093/joccuh/uiad017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Objectives: In an era characterized by dynamic technological advancements, the well-being of the workforce remains a cornerstone of progress and sustainability. Evolving industrial landscape in modern world have had a considerable influence on Occupational Health and Safety (OHS). Ensuring the wellbeing of workers and creating safe working environments are not only ethical imperatives but also integral to maintaining operational efficiency and productivity. We aim to review the advancements that have taken place with a potential to reshape workplace safety with integration of AI-driven new technologies to prevent occupational diseases and safety solutions.\\n Methods: The published literature was identified using scientific databases of Embase, PubMed and Google scholar including a time lower bound as 1974 to capture chronological advances in occupational disease detection and technological solution employed in industrial setups.\\n Results: AI-driven technologies are revolutionizing how organizations approach health and safety, offering predictive insights, real-time monitoring, and risk mitigation strategies that not only minimize accidents and hazards but also pave the way for a more proactive and responsive approach to safeguarding the workforce.\\n Conclusion: As industries embrace the transformative potential of Artificial Intelligence (AI), a new frontier of possibilities emerges for enhancing workplace safety. This synergy between OHS and AI marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces.\",\"PeriodicalId\":16632,\"journal\":{\"name\":\"Journal of Occupational Health\",\"volume\":\"51 19\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Occupational Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/joccuh/uiad017\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Occupational Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/joccuh/uiad017","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
目标:在一个以动态技术进步为特征的时代,劳动力的福祉仍然是进步和可持续发展的基石。现代世界不断演变的工业格局对职业健康与安全(OHS)产生了相当大的影响。确保工人的福利和创造安全的工作环境不仅是道德要求,也是保持运营效率和生产力不可或缺的因素。我们旨在回顾已取得的进展,这些进展有可能通过整合人工智能驱动的新技术来重塑工作场所安全,从而预防职业病并提供安全解决方案。研究方法使用 Embase、PubMed 和 Google scholar 等科学数据库(包括 1974 年的时间下限)对已发表的文献进行识别,以捕捉在工业设施中采用的职业病检测和技术解决方案的时间进展。研究结果人工智能驱动的技术正在彻底改变企业处理健康与安全问题的方式,提供预测性洞察、实时监控和风险缓解策略,不仅能最大限度地减少事故和危害,还能为采取更积极主动、反应更迅速的方法来保护劳动力铺平道路。结论:随着各行各业拥抱人工智能(AI)的变革潜力,加强工作场所安全的可能性出现了一个新的领域。职业健康安全(OHS)与人工智能之间的这种协同作用,标志着追求更安全、更健康、更可持续的工作场所的关键时刻到来了。
Artificial Intelligence in advancing the Occupational Health and Safety: An encapsulation of developments
Objectives: In an era characterized by dynamic technological advancements, the well-being of the workforce remains a cornerstone of progress and sustainability. Evolving industrial landscape in modern world have had a considerable influence on Occupational Health and Safety (OHS). Ensuring the wellbeing of workers and creating safe working environments are not only ethical imperatives but also integral to maintaining operational efficiency and productivity. We aim to review the advancements that have taken place with a potential to reshape workplace safety with integration of AI-driven new technologies to prevent occupational diseases and safety solutions.
Methods: The published literature was identified using scientific databases of Embase, PubMed and Google scholar including a time lower bound as 1974 to capture chronological advances in occupational disease detection and technological solution employed in industrial setups.
Results: AI-driven technologies are revolutionizing how organizations approach health and safety, offering predictive insights, real-time monitoring, and risk mitigation strategies that not only minimize accidents and hazards but also pave the way for a more proactive and responsive approach to safeguarding the workforce.
Conclusion: As industries embrace the transformative potential of Artificial Intelligence (AI), a new frontier of possibilities emerges for enhancing workplace safety. This synergy between OHS and AI marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces.
期刊介绍:
The scope of the journal is broad, covering toxicology, ergonomics, psychosocial factors and other relevant health issues of workers, with special emphasis on the current developments in occupational health. The JOH also accepts various methodologies that are relevant to investigation of occupational health risk factors and exposures, such as large-scale epidemiological studies, human studies employing biological techniques and fundamental experiments on animals, and also welcomes submissions concerning occupational health practices and related issues.