Artificial intelligence tools for safety and health systems at work DOI

Leidy Laura Castellón Simancas,

Núria Tous,

Lorena Mischell Carriazo Mendoza

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

A systematic review of the literature was carried out, key technologies such as machine learning, computer vision, wearable devices and intelligent monitoring systems are identified. These tools applied in accident prevention, continuous workers' health, automation surveillance improvement safety training. The implementation predictive AI makes it possible to identify risks prevent accidents, reducing incident rate improving safety. Wearable biometric sensors effective early detection occupational diseases musculoskeletal disorders. Additionally, automating with vision optimizes compliance standards, use personal protective equipment (PPE), easing operational burden on security managers. Despite its benefits, faces ethical technical challenges, data privacy, algorithm transparency, worker need develop clear regulations an approach adoption is highlighted. In conclusion, have great potential transform health systems, but essential address challenges technicians guarantee responsible implementation.

Language: Английский

Artificial intelligence tools for safety and health systems at work DOI

Leidy Laura Castellón Simancas,

Núria Tous,

Lorena Mischell Carriazo Mendoza

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

A systematic review of the literature was carried out, key technologies such as machine learning, computer vision, wearable devices and intelligent monitoring systems are identified. These tools applied in accident prevention, continuous workers' health, automation surveillance improvement safety training. The implementation predictive AI makes it possible to identify risks prevent accidents, reducing incident rate improving safety. Wearable biometric sensors effective early detection occupational diseases musculoskeletal disorders. Additionally, automating with vision optimizes compliance standards, use personal protective equipment (PPE), easing operational burden on security managers. Despite its benefits, faces ethical technical challenges, data privacy, algorithm transparency, worker need develop clear regulations an approach adoption is highlighted. In conclusion, have great potential transform health systems, but essential address challenges technicians guarantee responsible implementation.

Language: Английский

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