AIMC Topic: Occupational Health
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Machine learning models for the prediction of preclinical coal workers' pneumoconiosis: integrating CT radiomics and occupational health surveillance records.
Journal of translational medicine
Aug 11, 2025
OBJECTIVES: This study aims to integrate CT imaging with occupational health surveillance data to construct a multimodal model for preclinical CWP identification and individualized risk evaluation.
Boosted neural network modeling of psychological and social factors of work affecting safety performance and job satisfaction in the process industry.
BMC psychology
Aug 5, 2025
Psychological and social factors of work were found to influence workers' safety performance and job satisfaction. This study aimed to assess the effects of psychological and social factors of work affecting safety performance and job satisfaction of...
Artificial intelligence and the wellbeing of workers.
Scientific reports
Jun 23, 2025
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and...
Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.
PloS one
Jun 2, 2025
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indicate that work-stress contributes to severe mental strain, increased accident rates, and in extreme ca...
A data-driven scoring framework for personalized employee health check-ups: Integrating historical laboratory trends and evidence-based prevalence.
International journal of medical informatics
May 18, 2025
INTRODUCTION: Rising healthcare costs and growing demand for personalized preventive care have highlighted the need for data-driven approaches to optimize health check-ups, particularly in corporate settings. This study presents a scoring-based platf...
[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].
Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
May 8, 2025
The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and data analysis permit to develop devices with functions to determine physical conditions of workers,...
Operational safety risk modeling in a naval organization.
Journal of safety research
Mar 13, 2025
INTRODUCTION: Following numerous mishaps and near-misses, the U.S. Naval Surface Force established the Operational Surface Risk Indicators (OSRI) project to explore a robust proactive risk analysis and reduction capability. The OSRI model leverages m...
Visualizing what's missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction.
Journal of safety research
Feb 12, 2025
INTRODUCTION: In the construction industry, where safety is paramount, the frequency and severity of workplace incidents remain critical concerns. Therefore, site safety inspections have become essential for health and safety programs. While incident...
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...
Exploring Human-AI Dynamics in Enhancing Workplace Health and Safety: A Narrative Review.
International journal of environmental research and public health
Jan 30, 2025
BACKGROUND: Artificial intelligence (AI) is revolutionizing occupational health and safety (OHS) by addressing workplace hazards and enhancing employee well-being. This review explores the broader context of increasing automation and digitalization, ...
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