Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024

This study offers a comprehensive visual overview of the application of AI in GC over the past two decades. AI-assisted screening, diagnosis, and prognosis prediction in GC are anticipated to represent focal points of future research in this domain.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-10-17
DOI
https://doi.org/10.3389/fonc.2025.1591655
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024

Fuchun Wang, Jinying Zhao, Lü Chen, Zijian Liu et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024

Fuchun Wang, Jinying Zhao, Lü Chen, Zijian Liu, Dan Zhou, Lingzu Kong
article en

Abstract

This study offers a comprehensive visual overview of the application of AI in GC over the past two decades. AI-assisted screening, diagnosis, and prognosis prediction in GC are anticipated to represent focal points of future research in this domain.

Frontiers in OncologyVol. 15
Changchun University of Chinese Medicine (CN), The Affiliated Hospital to Changchun University of Chinese Medicine (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 56%
Radiomics and Machine Learning in Medical Imaging
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