AIMC Topic: Safety Management
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Solicitude toward artificial intelligence among health care providers and its relation to their patient's safety culture in Saudi Arabia.
BMC health services research
Jul 2, 2025
BACKGROUND: The healthcare sector is undergoing a digital transformation, where the integration of Artificial Intelligence (AI) plays a vital role in reshaping healthcare practices. AI technologies promise to improve work procedures, mitigate future ...
Risk assessment with the fuzzy Fine-Kinney method in a business operating in the metal industry.
International journal of occupational safety and ergonomics : JOSE
Feb 11, 2025
Occupational risk assessment involves examining and ranking the risks and hazards in a production or service facility, focusing on workplace health and safety. This study aims to address the deficiencies of traditional methods by applying a fuzzy log...
Multi-label material and human risk factors recognition model for construction site safety management.
Journal of safety research
Oct 9, 2024
INTRODUCTION: Construction sites are prone to numerous safety risk factors, but safety managers have difficulty managing these risk factors for practical reasons. Moreover, manually identifying multiple risk factors visually is challenging. Therefore...
Daily planning conversations and AI: Keys for improving construction culture, engagement, planning, and safety.
American journal of industrial medicine
May 29, 2024
The construction industry is known for its inherent risks, contributing to ~170,000 workplace injuries and illnesses annually in the United States. Engaging in prejob safety discussions presents a crucial chance to safeguard workers by proactively re...
When tomorrow comes: A prospective risk assessment of a future artificial general intelligence-based uncrewed combat aerial vehicle system.
Applied ergonomics
Feb 5, 2024
There are concerns that Artificial General Intelligence (AGI) could pose an existential threat to humanity; however, as AGI does not yet exist it is difficult to prospectively identify risks and develop requisite controls. We applied the Work Domain ...
Analyzing the influential factors of process safety culture by hybrid hidden content analysis and fuzzy DEMATEL.
Scientific reports
Jan 17, 2024
Due to the complex nature of safety culture and process industries, several factors influence process safety culture. This paper presents a novel framework that combines the hidden content analysis method with Decision Making Trial and Evaluation Lab...
A Bibliometric Analysis of Neuroscience Tools Use in Construction Health and Safety Management.
Sensors (Basel, Switzerland)
Nov 30, 2023
Despite longstanding traditional construction health and safety management (CHSM) methods, the construction industry continues to face persistent challenges in this field. Neuroscience tools offer potential advantages in addressing these safety and h...
Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review.
Accident; analysis and prevention
Nov 15, 2023
Accurately modelling crashes, and predicting crash occurrence and associated severities are a prerequisite for devising countermeasures and developing effective road safety management strategies. To this end, crash prediction modelling using machine ...
Research on Evaluation of University Emergency Management Ability Based on BP Neural Network.
International journal of environmental research and public health
Feb 23, 2023
University emergency management ability is an important part of university safety management. To evaluate university emergency management ability scientifically, objectively, and accurately, this study constructs three first-level indexes, namely, pr...
Intelligent escalator passenger safety management.
Scientific reports
Apr 1, 2022
This article addresses an approach to intelligent safety control of passengers on escalators. The aim is to improve the accuracy of detecting threatening situations on escalators in the subway to make decisions to prevent threats and eliminate the co...
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