Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer

OBJECTIVE: Using visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated. METHODS: On April 7th, 2022, articles and review...

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Detalles Bibliográficos
Autores principales: Tu, Jia-xin, Lin, Xue-ting, Ye, Hui-qing, Yang, Shan-lan, Deng, Li-fang, Zhu, Ruo-ling, Wu, Lei, Zhang, Xiao-qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453500/
https://www.ncbi.nlm.nih.gov/pubmed/36091151
http://dx.doi.org/10.3389/fonc.2022.972357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453500/
https://www.ncbi.nlm.nih.gov/pubmed/36091151
http://dx.doi.org/10.3389/fonc.2022.972357

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