Yuri Silvestre-Barbosa, Vitória Tavares Castro, Larissa Di Carvalho Melo, Paula Elaine Diniz Reis, André Ferreira Leite, Elaine Barros Ferreira, Eliete Neves Silva Guerra
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The fifty most cited documents highlighted radiology as the most explored specialty, with an emphasis on deep learning models for segmentation. The publications have been increasing, with an annual growth rate of 94.4% after 2016. Among the 20 most productive countries, 14 are high-income economies. The keywords of strong citation revealed 2 main clusters: radiomics and radiotherapy. The most frequently keywords include machine learning, deep learning, artificial intelligence, and head and neck cancer, with recent emphasis on diagnosis, survival prediction, and histopathology.</p><p><strong>Conclusions: </strong>There has been an increase in the use of AI in HNC research since 2016 and indicated a notable disparity in publication quantity between high-income and low/middle-income countries. Future research should prioritize clinical validation and standardization to facilitate the integration of AI in HNC management, particularly in underrepresented regions.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Worldwide research trends on artificial intelligence in head and neck cancer: a bibliometric analysis.\",\"authors\":\"Yuri Silvestre-Barbosa, Vitória Tavares Castro, Larissa Di Carvalho Melo, Paula Elaine Diniz Reis, André Ferreira Leite, Elaine Barros Ferreira, Eliete Neves Silva Guerra\",\"doi\":\"10.1016/j.oooo.2025.02.014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This bibliometric analysis aims to explore scientific data on Artificial Intelligence (AI) and Head and Neck Cancer (HNC).</p><p><strong>Study design: </strong>AI-related HNC articles from the Web of Science Core Collection were searched. 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Future research should prioritize clinical validation and standardization to facilitate the integration of AI in HNC management, particularly in underrepresented regions.</p>\",\"PeriodicalId\":49010,\"journal\":{\"name\":\"Oral Surgery Oral Medicine Oral Pathology Oral Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oral Surgery Oral Medicine Oral Pathology Oral Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.oooo.2025.02.014\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.oooo.2025.02.014","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
目的：本文献计量分析旨在探讨人工智能（AI）与头颈癌（HNC）的科学数据。研究设计：检索Web of Science Core Collection中与人工智能相关的HNC文章。使用R Studio的VosViewer和Biblioshiny/Bibiometrix进行数据合成。该分析涵盖了关键特征，如来源、作者、隶属关系、国家、引用和最常被引用的文章、关键字分析和趋势主题。结果：1995 ~ 2024年共收录论文1019篇。其中，71.6%为原创研究文章，7.6%为综述，20.8%为其他形式。被引用最多的50篇文献强调放射学是探索最多的专业，重点是分割的深度学习模型。发文量持续增长，2016年以后年均增长率达94.4%。在生产率最高的20个国家中，有14个是高收入经济体。强被引关键词主要分为放射组学和放射治疗两类。最常见的关键词包括机器学习、深度学习、人工智能和头颈癌，最近重点是诊断、生存预测和组织病理学。结论：自2016年以来，人工智能在HNC研究中的使用有所增加，高收入国家和中低收入国家的出版物数量存在显著差异。未来的研究应优先考虑临床验证和标准化，以促进人工智能在HNC管理中的整合，特别是在代表性不足的地区。
Worldwide research trends on artificial intelligence in head and neck cancer: a bibliometric analysis.
Objective: This bibliometric analysis aims to explore scientific data on Artificial Intelligence (AI) and Head and Neck Cancer (HNC).
Study design: AI-related HNC articles from the Web of Science Core Collection were searched. VosViewer and Biblioshiny/Bibiometrix for R Studio were used for data synthesis. This analysis covered key characteristics such as sources, authors, affiliations, countries, citations and top cited articles, keyword analysis, and trending topics.
Results: A total of 1,019 papers from 1995 to 2024 were included. Among them, 71.6% were original research articles, 7.6% were reviews, and 20.8% took other forms. The fifty most cited documents highlighted radiology as the most explored specialty, with an emphasis on deep learning models for segmentation. The publications have been increasing, with an annual growth rate of 94.4% after 2016. Among the 20 most productive countries, 14 are high-income economies. The keywords of strong citation revealed 2 main clusters: radiomics and radiotherapy. The most frequently keywords include machine learning, deep learning, artificial intelligence, and head and neck cancer, with recent emphasis on diagnosis, survival prediction, and histopathology.
Conclusions: There has been an increase in the use of AI in HNC research since 2016 and indicated a notable disparity in publication quantity between high-income and low/middle-income countries. Future research should prioritize clinical validation and standardization to facilitate the integration of AI in HNC management, particularly in underrepresented regions.
期刊介绍：
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology is required reading for anyone in the fields of oral surgery, oral medicine, oral pathology, oral radiology or advanced general practice dentistry. It is the only major dental journal that provides a practical and complete overview of the medical and surgical techniques of dental practice in four areas. Topics covered include such current issues as dental implants, treatment of HIV-infected patients, and evaluation and treatment of TMJ disorders. The official publication for nine societies, the Journal is recommended for initial purchase in the Brandon Hill study, Selected List of Books and Journals for the Small Medical Library.
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