Next-gen solution: AI's influence on biomedical waste management practices
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20261812Keywords:
Artificial intelligence, Smart bins, Predictive analytics, Robotics in BMW management, Internet of thingsAbstract
Artificial intelligence (AI) is revolutionizing the management of biomedical waste (BMW) by enhancing processes like segregation, collection, monitoring, and recycling. Traditional approaches often face inefficiencies that pose risks to both the environment and public health. AI-powered systems leverage advanced sensors and machine learning to boost accuracy, efficiency, and compliance. Innovations such as smart bins, predictive analytics, and real-time tracking streamline waste collection, while AI-driven sorting and robotics enhance the safety of recycling efforts. Internet of things (IoT) based monitoring enables continuous oversight, thereby minimizing hazards. However, challenges like high costs, data security concerns, and scalability issues persist. To achieve sustainable and effective BMW management solutions, collaboration, investment in AI infrastructure, and the establishment of regulatory frameworks are crucial.
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