Int J Stomatol

Int J Stomatol ›› 2025, Vol. 52 ›› Issue (1): 50-60.doi: 10.7518/gjkq.2025026

• Oral Oncology • Previous Articles     Next Articles

Evidence-based visualization and comparative analysis of the literature on smart healthcare for oral cancer from 2003 to 2023

Yongzhen Liao1(),Xiaohui Wang2,Jie Qiu3,Jialiang Zhou2,Li Cong2()   

  1. 1.School of Medicine & Health Care, Shunde Polytechnic, Foshan 528333, China
    2.School of Medicine, Hunan Normal University, Changsha 410013, China
    3.Dept. of Head and Neck Surgery, Hunan Cancer Hospital, Changsha 410013, China
  • Received:2024-03-29 Revised:2024-09-24 Online:2025-01-01 Published:2025-01-11
  • Contact: Li Cong E-mail:76647611@qq.com;congli@hunnu.edu.cn

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Abstract:

Objective This study aims to explore the development trends, research hotspots, and future directions of smart healthcare for oral cancer through bibliometrics, providing a reference for subsequent research. Methods English literature on smart healthcare for oral cancer in Web of Science Core Collection, Scopus, and PubMed databases and Chinese literature on the same topic in the CNKI database published in 2003-2023 were retrospectively collected. Meanwhile, the evidence-based visualization and comparative analysis of the countries, institutions, authors, citation frequency, and keywords included in the literature were performed with VOSviewer 1.6.18 software. Results A total of 547 English articles and 34 Chinese documents were included. An increasing trend in publication volume, especially in recent years, was observed. Among countries, the United States was the largest contributor to the field and had close academic exchanges with other countries, whereas cross-border, cross-institutional, and cross-team cooperation was limited in China. Moreover, network structure had regional characteri-stics. In addition, the artificial intelligence-assisted diagnosis and treatment of oral cancer are a common focus of attention in domestic and foreign literature. English literature focuses on the deep exploration of new diagnostic technologies, whereas Chinese literature tends to explore the application of intelligent health care and traditional Chinese medicine network pharmacology. Conclusion The conti-nuous development of smart healthcare for oral cancer has made the research on its application in artificial intelligence-assisted diagnosis, intelligent health care, and traditional Chinese medicine pharmacology increasingly profound. Early warning screening urgently needs to become an important focus of smart healthcare for oral health.

Key words: oral cancer, smart healthcare, evidence-based visualization, bibliometric, comparative analysis

CLC Number: 

  • R782

TrendMD: 

Fig 1

Trends in the number of publications on oral cancer smart healthcare theme from 2003 to 2023"

Fig 2

Temporal analysis of English literature publishing countries from 2003 to 2023"

Fig 3

Analysis of cooperation between domestic and foreign publishing institutions from 2003 to 2023"

Fig 4

Analysis of collaboration between domestic and foreign authors from 2003 to 2023"

Tab 1

Top 10 Chinese and English literature cited frequently"

文献序号标题年份被引频次
中文1APP软件在口腔癌游离皮瓣修复术后出院患者延续性护理中的应用201818
2网络互动教育在口腔癌手术病人护理中的应用201911
3数字化技术在口腔颌面部肿瘤精准外科诊疗中的应用202011
4机器学习在颌面部囊肿及肿瘤中应用的研究进展20209
5人工智能技术在口腔医学领域的应用进展20208
6基于大规模临床数据深度学习的口腔疾病人工智能预防与诊断平台的构建20208
7远程网络同行评价在口腔癌手术患者护理质量控制中的应用效果分析20177
8口腔癌术后放疗患者智能精神状态及其影响因素研究20156
9沉默生物钟基因PER1对口腔鳞状细胞癌细胞中生物钟基因网络的影响20176
10口腔癌相关唾液肿瘤生物标志物的分析检测研究进展20195
英文1Luminescent quantum clusters of gold in bulk by albumin-induced core etching of nanoparticles: metal ion sensing, metal-enhanced luminescence, and biolabeling2010225
2The terahertz electromagnetically induced transparency-like metamaterials for sensitive biosensors in the detection of cancer cells2019183
3Electrochemical sensor for multiplex biomarkers detection2009181
4Nano-bio-chips for high performance multiplexed protein detection: determinations of cancer biomarkers in serum and saliva using quantum dot bioconjugate labels2009178
5Ultrasensitive detection of cancer biomarkers in the clinic by use of a nanostructured microfluidic array2012155
6Deep learning-based survival prediction of oral cancer patients2019138
7Nanostructured zirconia decorated reduced graphene oxide based efficient biosensing platform for non-invasive oral cancer detection2016135
8Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning2017126
9Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm2019119
10YouTube as a source of information on mouth (oral) cancer2016111

Fig 5

English keywords clustering and temporal analysis"

Fig 6

Chinese keywords clustering and temporal analysis"

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