A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades
Abstract Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world. Artificial intelligence (AI) has had a significant impact on scientific disciplines, including oncology by transforming data analysis and predictive capabilities. Recent advancements in AI...
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| Format: | Article |
| Language: | English |
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Springer
2025-07-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-03293-6 |
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| author | Irna Sufiawati Anisa Insyafiana Rifat Rahman Adi Idris |
| author_facet | Irna Sufiawati Anisa Insyafiana Rifat Rahman Adi Idris |
| author_sort | Irna Sufiawati |
| collection | DOAJ |
| description | Abstract Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world. Artificial intelligence (AI) has had a significant impact on scientific disciplines, including oncology by transforming data analysis and predictive capabilities. Recent advancements in AI have enabled researchers to integrate and synthesize multidimensional datasets, infer patterns, and predict outcomes, ultimately enhancing shared decision-making between patients and clinicians. This bibliometric analysis aims to provide a comprehensive overview of the application of AI in OC research over the last three decades. Our analysis of 351 articles retrieved from SCOPUS between 1998 and 2024 using VOSviewer highlights the dynamic growth of AI in OC research. The significant trends in publications and citations reflect the increasing interest and impact of this field. These findings provide valuable insights for policymakers, funding agencies, and researchers, guiding future efforts to integrate AI technologies into oral oncology practices. |
| format | Article |
| id | doaj-art-663e7d65de194852aa537b00517dc0cf |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-663e7d65de194852aa537b00517dc0cf2025-08-20T03:43:22ZengSpringerDiscover Oncology2730-60112025-07-0116111110.1007/s12672-025-03293-6A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decadesIrna Sufiawati0Anisa Insyafiana1Rifat Rahman2Adi Idris3Department of Oral Medicine, Faculty of Dentistry, Universitas PadjadjaranDepartment of Oral Medicine, Faculty of Dentistry, Universitas PadjadjaranInstitute for Biomedicine and Glycomics, School of Pharmacy and Medical Sciences, Griffith UniversityCentre for Immunology and Infection Control, School of Biomedical Sciences, Queensland University of TechnologyAbstract Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world. Artificial intelligence (AI) has had a significant impact on scientific disciplines, including oncology by transforming data analysis and predictive capabilities. Recent advancements in AI have enabled researchers to integrate and synthesize multidimensional datasets, infer patterns, and predict outcomes, ultimately enhancing shared decision-making between patients and clinicians. This bibliometric analysis aims to provide a comprehensive overview of the application of AI in OC research over the last three decades. Our analysis of 351 articles retrieved from SCOPUS between 1998 and 2024 using VOSviewer highlights the dynamic growth of AI in OC research. The significant trends in publications and citations reflect the increasing interest and impact of this field. These findings provide valuable insights for policymakers, funding agencies, and researchers, guiding future efforts to integrate AI technologies into oral oncology practices.https://doi.org/10.1007/s12672-025-03293-6Artificial intelligenceBibliometric analysisOral cancerResearch trendsVOSviewer |
| spellingShingle | Irna Sufiawati Anisa Insyafiana Rifat Rahman Adi Idris A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades Discover Oncology Artificial intelligence Bibliometric analysis Oral cancer Research trends VOSviewer |
| title | A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| title_full | A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| title_fullStr | A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| title_full_unstemmed | A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| title_short | A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| title_sort | bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades |
| topic | Artificial intelligence Bibliometric analysis Oral cancer Research trends VOSviewer |
| url | https://doi.org/10.1007/s12672-025-03293-6 |
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