## 3 Results
### Analysis of AI and Smart Technology Applications Across Industry Sectors
#### 3.2.6 Integration of AI and Smart Technologies in Safety Management for the Health Sector  
In the health sector, AI and smart technologies significantly enhance safety management by addressing critical factors such as occupational risk management and prevention, smart health monitoring and prevention, mental health management and prevention, and technological integration with ethical implementation. For occupational risk management and prevention, AI-based predictive analytics and machine learning algorithms analyze data on healthcare workers' exposure to risks like infectious diseases and ergonomic hazards. This enables proactive measures to prevent workplace accidents and improve safety protocols. In smart health monitoring and prevention, wearable devices equipped with AI and IoT sensors collect real-time physiological data such as heart rate and blood pressure. AI algorithms process these data to detect anomalies, predict health events, and provide personalized recommendations, enhancing patient safety through early detection and \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Safety Management Factor** & **AI and Smart Technology Research Methods** & **Research Numbers** \\ \hline
**Gas Safety and Risk Management** & - Developed intelligent gas meters for accurate monitoring. - Implemented automated fire suppression systems. - Designed Smart Home Gas Safety Management Systems (S-GSMSs) with scenario-based evaluations. - Integrated Bluetooth and RFID-based positioning for comprehensive gas safety systems. & [63] \\ \hline
**Power Grid and Energy Management** & - Proposed low-cost solutions for appliance ON/OFF control using new power distribution systems. - Utilized smart meters to automatically adjust power based on appliance priority. - Developed AI-based resource optimization systems for efficient energy management. - Implemented Battery Management Systems (BMSs) with AI-driven protection using MATLAB Simulink. & [62] \\ \hline
**Real-time Monitoring and Alert Systems** & - Employed wireless modularization and networking for robust real-time monitoring. - Developed web-based safety management systems for data-driven decision-making. - Utilized AI-based monitoring systems, including time-safety metrics (TTBU) and real-time safety assessment using Extreme Learning Machines (ELMs). - Implemented remote visualization and intelligent alarm systems for immediate hazard detection. & [61] \\ \hline
**Urban Gas Facility Risk Management** & - Designed and prototyped smart street lighting systems with integrated safety features using GSM, GPS, cameras, LED lighting, and emergency buttons. - Conducted crime statistics analysis and case studies to optimize urban gas facility safety measures. - Utilized digital twin models for immersive fire monitoring and real-time safety assessments. & [64] \\ \hline
**Resource Consumption and Energy Efficiency Management** & - Developed AI-powered predictive models to analyze and optimize resource consumption. - Implemented energy-efficient solutions through smart meters and automated power control systems. - Utilized digital twin simulations to evaluate and enhance energy efficiency strategies.- Integrated sustainable development (SD) principles with IoT and knowledge management (KM) for robust energy management frameworks. & [64] \\ \hline \hline \end{tabular}
\end{table} 
Table 6: AI and smart technology research methods for safety management factors in the energy and power sector. timely intervention. Mental health management and prevention are addressed through AI chatbots and applications using natural language processing to offer mental health support, assess emotional states, and provide immediate assistance. Machine learning models identify signs of mental health issues, facilitating timely interventions and access to professional help. Lastly, technological integration and ethical implementation ensure the responsible use of AI in healthcare.