Artificial Intelligence and Machine Learning in Hospital Waste Management

Authors

  • Hifssa Aslam Department of Computer Science, Bahauddin Zakariya University, Multan,60000, Pakistan
  • Muhammad Rizwan Department of Veterinary Medicine, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
  • Sidra Gul Department of Statistics, Bahauddin Zakariya University, Multan,60000, Pakistan
  • Ujala Riaz Department of Computer Science, Bahauddin Zakariya University, Multan,60000, Pakistan
  • Sadia Sanaullah Department of Veterinary Medicine, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan

Keywords:

Artificial Intelligence, Machine Learning , Hospital Waste Management, Environmental Sustainability , Predictive Analytics

Abstract

Hospital waste management is an important part of the healthcare system, that have a direct effect on public health, environmental sustainability and operational efficiency. The integration of artificial intelligence (AI) and machine learning (ML) technologies offers transformative opportunities to optimize waste management processes. In this review highlight the applications, challenges and potential of artificial intelligence and machine learning in hospital waste management, highlighting their role in waste classification, predictive analytics and sustainable disposal practices. It also checks the limitations and future research directions required to fully utilize these technologies.

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Published

2024-08-01

How to Cite

Aslam, H., Muhammad Rizwan, Gul, S., Riaz , U., & Sanaullah , S. (2024). Artificial Intelligence and Machine Learning in Hospital Waste Management . Machines and Algorithms, 3(2), 114–121. Retrieved from https://knovell.org/MnA/index.php/ojs/article/view/65

Issue

Vol. 3 No. 2 (2024): Regular Issue

Section

Articles

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