A visual review of artificial intelligence and Industry 4.0 in healthcare
| dc.contributor.author | Sood, S | |
| dc.contributor.author | Rawat, K | |
| dc.contributor.author | Kumar, D | |
| dc.date.accessioned | 2024-05-15T06:05:53Z | |
| dc.date.available | 2024-05-15T06:05:53Z | |
| dc.date.issued | 2022-04 | |
| dc.description.abstract | The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized demands in the healthcare field. In addition, the internet of things, artificial intelligence, big data analytics, and 3D printing have been extensively used to combat the COVID-19 pandemic and assist in providing value added services in the healthcare sector. Henceforth, this paper presents a scientometric analysis on the literature of aforementioned Industry 4.0 technologies in the context of COVID-19. It provides extensive insights into co-citation and co-occurrence analysis of high cited publications, participating countries, influential authors, prolific journals, and keywords using the CiteSpace tool. The analyses reveal that China has produced the highest research outputs, although India is the most collaborative country in this field. The current research hotspots include supply chain, 4D printing, and social distancing technologies. Furthermore, it explores emerging trends, intellectual structure of publications, research frontiers, and potential research directions for further work in the Industry 4.0 assisted healthcare domain. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1509 | |
| dc.language.iso | en | en_US |
| dc.title | A visual review of artificial intelligence and Industry 4.0 in healthcare | en_US |