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An Overview of the Evolution of Capsule Endoscopy Research-Text-Mining Analysis and Publication Trends

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DIAGNOSTICS
卷 12, 期 9, 页码 -

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MDPI
DOI: 10.3390/diagnostics12092238

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capsule endoscopy; research; meta-view

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Over the past two decades, there has been a steady increase in global interdisciplinary research on capsule endoscopy (CE), with a high growth rate and citations per document. This paper provides a comprehensive analysis of CE publications, showcasing its potential for diagnostics, prevention, and treatment of gastrointestinal diseases. The introduction of artificial intelligence tools has further enhanced the diagnostic capabilities of CE.
There has been a steady increase (annual percentage growth rate of 19.2%, average of 18.3 citations per document) in capsule endoscopy (CE) publications from a global, interdisciplinary research community on a growing range of CE applications over the last 20+ years. We here present the status of CE as a field of research, tracing its evolution over time and providing insight into its potential for diagnostics, prevention and treatment of gastrointestinal (GI) tract diseases. To portray the development of the CE research landscape in the 2000-2021 time span, we analyzed 5764 scientific publications. Analyses were performed using the R language and environment for statistical computing and graphics and VOSviewer, a software developed for scientific literature analysis by scientometricians. The aim of this paper is to provide a wide comprehensive analysis of the trends in CE publications. We thus performed subgroup analysis on the selected papers, including indications, annual percentage growth rate, average citations per document, most publications from research areas/interdisciplinary field of the articles, geography, collaboration networks through institutions, specific clinical keywords and device type. The firm increase in CE publications over the last two decades highlights the overall strength of the technology in GI applications. Furthermore, the introduction to the field of artificial intelligence (AI) tools has been promoting a range of technological advances that keep on affecting the diagnostic potential of CE.

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