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

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

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

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

Data and Metadata, 2024, vol. 3, .375

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.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.375:id:1056294dm2024375

DOI: 10.56294/dm2024.375

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