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Bibliometric analysis of the applicability of artificial intelligence in the integrated management of medical waste

Author

Listed:
  • Diego Cajamarca Carrazco
  • María Gabriela Tobar-Ruiz
  • Diego Marcelo Almeida López
  • Carlos Eduardo Cevallos Hermida
  • Verónica Magdalena Llangarí Arellano
  • Mateo Augusto Zavala Tobar
  • María Magdalena Paredes Godoy

Abstract

The integrated management of medical waste (MD) is a crucial challenge for public health and the environment, aggravated in recent times by population growth and the emergence of pandemics. In this context, the implementation of innovative technologies such as Artificial Intelligence (AI) presents itself as a promising solution. These technological tools can facilitate the identification, classification and tracking of DMs, thus optimizing their collection, treatment and final disposal in an efficient and sustainable manner. For this purpose, it was established to analyze the scientific production related to the integrated management of medical waste and the applicability of Artificial Intelligence. The Scopus database was used during the period 2017 - 2024 based on the PRISMA 2020 methodology. The behavior of the studies presented 9 nodes representing 116 publications. For the co-occurrence of keywords, five clusters and 56 selected keywords were found, which corroborates the importance of the study. However, the application of emerging technologies in combination with comprehensive approaches can significantly contribute to improve DM management, from an adaptive, resilient, and inclusive approach.

Suggested Citation

Handle: RePEc:dbk:datame:v:3:y:2024:i::p:.375:id:1056294dm2024375
DOI: 10.56294/dm2024.375
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