Cases on AI Innovations in Occupational Health and Safety

Cases on AI Innovations in Occupational Health and Safety

Martha Chadyiwa (University of Johannesburg, South Africa)
Projected Release Date: May, 2025|Copyright: © 2025 |Pages: 375
DOI: 10.4018/979-8-3693-9301-7
ISBN13: 9798369393017|ISBN13 Softcover: 9798369393024|EISBN13: 9798369393031
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Description & Coverage
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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Editor/Author Biographies
Martha Chadyiwa is a qualified and reputable senior lecture with extensive teaching and research experience in Public Health. Her experience has been more practical especially when she was facilitating and mentoring the students in the Masters of Public Health Program. She has made several research contributions toward enhancing Occupational Health and safety; she is also committed to promoting and participating in public and global causes. Martha’s diverse background demonstrates her desire for the betterment of health care on a large scale.
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