The article "Artificial Intelligence in Advancing Occupational Health and Safety: An Encapsulation of Developments" by Immad A. Shah and SukhDev Mishra reviews the integration of artificial intelligence (AI) into occupational health and safety (OHS) to enhance workplace safety and prevent occupational diseases. The authors highlight the significant impact of AI-driven technologies on predictive insights, real-time monitoring, and risk mitigation strategies, which not only minimize accidents and hazards but also promote a more proactive and responsive approach to safeguarding the workforce. The study identifies and analyzes advancements in AI applications, particularly in the detection of occupational lung diseases through chest X-ray algorithms and other technological innovations. Key areas of focus include the use of deep learning (DL) and convolutional neural networks (CNNs) for image processing and disease diagnosis, as well as the development of AI-driven exoskeletons, smart PPE, and AI-based robots to enhance worker safety and productivity. The article also discusses the role of computer vision and virtual reality (VR) in monitoring and training, emphasizing their potential to improve workplace safety and training effectiveness. The authors conclude that AI-based tools offer significant potential gains, especially in developing countries, by providing valuable insights for proactive risk management and continuous improvement in OHS practices. Overall, the integration of AI in OHS marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces, highlighting the need for further research and implementation of these technologies.The article "Artificial Intelligence in Advancing Occupational Health and Safety: An Encapsulation of Developments" by Immad A. Shah and SukhDev Mishra reviews the integration of artificial intelligence (AI) into occupational health and safety (OHS) to enhance workplace safety and prevent occupational diseases. The authors highlight the significant impact of AI-driven technologies on predictive insights, real-time monitoring, and risk mitigation strategies, which not only minimize accidents and hazards but also promote a more proactive and responsive approach to safeguarding the workforce. The study identifies and analyzes advancements in AI applications, particularly in the detection of occupational lung diseases through chest X-ray algorithms and other technological innovations. Key areas of focus include the use of deep learning (DL) and convolutional neural networks (CNNs) for image processing and disease diagnosis, as well as the development of AI-driven exoskeletons, smart PPE, and AI-based robots to enhance worker safety and productivity. The article also discusses the role of computer vision and virtual reality (VR) in monitoring and training, emphasizing their potential to improve workplace safety and training effectiveness. The authors conclude that AI-based tools offer significant potential gains, especially in developing countries, by providing valuable insights for proactive risk management and continuous improvement in OHS practices. Overall, the integration of AI in OHS marks a pivotal moment in the quest for safer, healthier, and more sustainable workplaces, highlighting the need for further research and implementation of these technologies.