Bibliometric analysis of the applicability of artificial intelligence in the integrated management of medical waste DOI Creative Commons
Diego Iván Cajamarca Carrazco, María Gabriela Tobar Ruiz, D. López

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3

Published: Aug. 18, 2024

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

Language: Английский

Implementation of medical plastic waste segregation and decontamination for sustainable recycling in healthcare DOI

Holali Kwami Apevienyeku,

Joshua Ampofo,

James Amankwaa Amoako

et al.

Journal of Material Cycles and Waste Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 9, 2025

Language: Английский

Citations

0
Bibliometric analysis of the applicability of artificial intelligence in the integrated management of medical waste DOI Creative Commons
Diego Iván Cajamarca Carrazco, María Gabriela Tobar Ruiz, D. López

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3

Published: Aug. 18, 2024

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

Language: Английский

Citations

0