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Cases on AI Innovations in Occupational Health and Safety

Martha Chadyiwa (University of Johannesburg, South Africa) and Olanrewaju Oladimeji (Sefako Makgatho Health Sciences University, South Africa)
Indexed In: SCOPUS
Release Date: June, 2025 | Copyright: © 2025 | Pages: 478
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369393017
ISBN13 Softcover: 9798369393024
EISBN13: 9798369393031
DOI: 10.4018/979-8-3693-9301-7

Description:

Hazards are a significant concern to businesses, including handling heavy or biomedical materials and machine operation. Innovations in occupational health and safety may prevent injuries and accidents and increase the physical health of the employees. Artificial intelligence (AI) tools may increase workplace safety by offering real-time monitoring technologies and safety hazard prediction. Consequently, costs associated with incidents may be decreased and working conditions may improve, enhancing the well-being of employees.

Cases on AI Innovations in Occupational Health and Safety explores applications of intelligent technology in the field of occupational health and safety. It provides real-life examples on how risk management and hazard prevention have been reshaped by AI and machine learning technologies. Covering topics such as bio-risk management, long short-term memory (LSTM), and urban informal vendors, this book is an excellent resource for safety policymakers, technology innovators, consultants, safety practitioners, business managers, professionals, researchers, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI)
  • Automated Health and Safety Recommendations
  • Bio-Risk Management
  • Biotechnology Research
  • Data Privacy
  • Demographic-Specific Challenges
  • Digital Health Technologies
  • Hazardous Materials Transportation
  • Hearing Deterioration
  • Incident Prevention
  • Long Short-Term Memory (LSTM)
  • Manual Handling Safety
  • Nurse Well-Being
  • Occupational Health and Safety
  • Osteoarthritis Detection
  • Predictive Analytics
  • Quality Assurance
  • Real-Time Monitoring Technologies
  • Robotics
  • Urban Informal Vendors

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Martha Chadyiwa is a Senior Lecturer in the Department of Environmental Health at the University of Johannesburg. She a registered Environmental Health Practitioner with the Health Professions Council of South Africa, holding a Bachelor of Science Degree in Environmental Science. She has an MBA in Environmental Management from Twente University and completed an Honors in Leadership at the University of Johannesburg. She completed her PhD with the University of the Witwatersrand. From 2013 to 2017, she served as the HOD for the Department of Environmental Health and was involved in creating and developing content for the online Master of Public Health at the University of Johannesburg, which she currently coordinates. She has been an Adjunct lecturer at Witwatersrand University, MANCOSA and Lyceum and has published papers on occupational and environmental health in nationally and internationally accredited journals. Throughout her career, she has supervised over 20 Masters students to completion, and has received numerous accolades, including being the 2021 winner of South Africa's InspiringFifty women in STEM. She is involved in several international collaborations, including serving as vice-chair of the U21 Sustainable Development Goals committee. Her research focuses on occupational and environmental health, including how artificial intelligence impacts these fields.

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