ReviewInternational journal of environmental research and public health2021
REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health.
Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advancements in Artificial Intelligence and Machine Learning for Occupational Risk Prevention: A Systematic Review on Predictive Risk Modeling and Prevention Strategies.Sensors (Basel, Switzerland) · 2025Pooled it
- Sensing Technology Applications in the Mining Industry-A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Artificial Intelligence and Occupational Health: Global Umbrella Review of Applications and Limitations.Safety and health at work · 2026Review
- Machine learning analysis of the association between psychosocial risks and burnout syndrome in mining workers.Frontiers in public health · 2026Article
- Lightweight and mobile artificial intelligence and immersive technologies in aviation.Visual computing for industry, biomedicine, and art · 2025Review
- Innovative Technologies to Improve Occupational Safety in Mining and Construction Industries-Part I.Sensors (Basel, Switzerland) · 2025Review
- Evaluating User Safety Aspects of AI-Based Systems in Industrial Occupational Safety: A Critical Review of Research Literature.International journal of environmental research and public health · 2025Review
- AI-driven solutions to improve safety and health: Application of the REDECA framework for agricultural tractor drivers.PLOS global public health · 2025Article
- Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks.La Medicina del lavoro · 2024Article
- Digital Innovations for Occupational Safety: Empowering Workers in Hazardous Environments.Workplace health & safety · 2024Review
- Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics.Sensors (Basel, Switzerland) · 2024Article
- Behind the good of digital tools for occupational safety and health: a scoping review of ethical issues surrounding the use of the internet of things.Frontiers in public health · 2024Article
- Symmetry and asymmetry in atherosclerosis.International journal of occupational medicine and environmental health · 2023Review
- Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review.International journal of environmental research and public health · 2023Article
- Automation, Climate Change, and the Future of Farm Work: Cross-Disciplinary Lessons for Studying Dynamic Changes in Agricultural Health and Safety.International journal of environmental research and public health · 2023Review
- Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers.Frontiers in public health · 2023Article
- Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature.Diagnostics (Basel, Switzerland) · 2022Review
- Promising Occupational Safety, Health, and Well-Being Approaches to Explore the Future of Work in the USA: An Editorial.International journal of environmental research and public health · 2022Article
- Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace-A Pilot Study.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionThe field of artificial intelligence (AI) is rapidly expanding, with many applications seen routinely in health care, industry, and education, and increasingly in workplaces. Although there is growing evidence of applications of AI in workplaces across all industries to simplify and/or automate tasks there is a limited understanding of the role that AI contributes in addressing occupational safety and health (OSH) concerns.
methodsThis paper introduces a new framework called Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) that highlights the role that AI plays in the anticipation and control of exposure risks in a worker's immediate environment. Two hundred and sixty AI papers across five sectors (oil and gas, mining, transportation, construction, and agriculture) were reviewed using the REDECA framework to highlight current applications and gaps in OSH and AI fields.
resultsThe REDECA framework highlighted the unique attributes and research focus of each of the five industrial sectors. The majority of evidence of AI in OSH research within the oil/gas and transportation sectors focused on the development of sensors to detect hazardous situations. In construction the focus was on the use of sensors to detect incidents. The research in the agriculture sector focused on sensors and actuators that removed workers from hazardous conditions. Application of the REDECA framework highlighted AI/OSH strengths and opportunities in various industries and potential areas for collaboration.
conclusionsAs AI applications across industries continue to increase, further exploration of the benefits and challenges of AI applications in OSH is needed to optimally protect worker health, safety and well-being.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.