The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024)
Aim: This study aims to perform a comprehensive bibliometric analysis of academic publications on AI applications in vascular surgery, identifying key authors, influential journals, prevalent research themes, and international collaborations, focusing on infrastructure, conceptual structure, and soc...
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| Format: | Article |
| Language: | English |
| Published: |
Turkish National Vascular and Endovascular Surgery Society
2024-03-01
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| Series: | Turkish Journal of Vascular Surgery |
| Subjects: | |
| Online Access: | https://turkishjournalofvascularsurgery.org//?mno=209813 |
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| _version_ | 1823858516454014976 |
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| author | Ufuk Demirkilic Burcu Tosun |
| author_facet | Ufuk Demirkilic Burcu Tosun |
| author_sort | Ufuk Demirkilic |
| collection | DOAJ |
| description | Aim: This study aims to perform a comprehensive bibliometric analysis of academic publications on AI applications in vascular surgery, identifying key authors, influential journals, prevalent research themes, and international collaborations, focusing on infrastructure, conceptual structure, and social networks within the field.
Material and Methods: The analysis covers 815 documents published from 2020 to 2024, retrieved from the Web of Science Core Collection database. Metrics analyzed include publication growth, citation rates, key contributors, leading journals, prevalent themes, and international collaborations.
Results: The research output showed a 15% annual growth rate, peaking in 2023. Despite increasing publications, the average citation rate per article declined. The study identified 5039 contributors with significant international co-authorship. Leading authors included Lareyre F and Raffort J, and the "Journal of Vascular Surgery" was the most influential journal. The USA and China led in contributions, reflecting robust research infrastructure. Key themes include risk assessment, diagnostic methods, and patient management, highlighting AI's role in enhancing diagnostic accuracy, treatment planning, and patient outcomes in vascular surgery.
Conclusion: The analysis highlights the rapid growth and collaborative nature of AI research in vascular surgery. Key contributors, influential journals, and emerging themes were identified, emphasizing AI's role in improving diagnostics and patient outcomes. Limitations include the focus on one database and a five-year period, suggesting future research should include more databases and a longer timeframe. Exploring high-impact studies and practical applications will further advance the field. [Turk J Vasc Surg 2024; 33(2.000): 103-11] |
| format | Article |
| id | doaj-art-d6128c9f899e47109571953089024cbc |
| institution | Kabale University |
| issn | 2667-5080 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Turkish National Vascular and Endovascular Surgery Society |
| record_format | Article |
| series | Turkish Journal of Vascular Surgery |
| spelling | doaj-art-d6128c9f899e47109571953089024cbc2025-02-11T11:13:53ZengTurkish National Vascular and Endovascular Surgery SocietyTurkish Journal of Vascular Surgery2667-50802024-03-0133210311209813The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024)Ufuk Demirkilic0Burcu Tosun1Ankara Acıbadem Hastanesi Atılım UniversitesiAim: This study aims to perform a comprehensive bibliometric analysis of academic publications on AI applications in vascular surgery, identifying key authors, influential journals, prevalent research themes, and international collaborations, focusing on infrastructure, conceptual structure, and social networks within the field. Material and Methods: The analysis covers 815 documents published from 2020 to 2024, retrieved from the Web of Science Core Collection database. Metrics analyzed include publication growth, citation rates, key contributors, leading journals, prevalent themes, and international collaborations. Results: The research output showed a 15% annual growth rate, peaking in 2023. Despite increasing publications, the average citation rate per article declined. The study identified 5039 contributors with significant international co-authorship. Leading authors included Lareyre F and Raffort J, and the "Journal of Vascular Surgery" was the most influential journal. The USA and China led in contributions, reflecting robust research infrastructure. Key themes include risk assessment, diagnostic methods, and patient management, highlighting AI's role in enhancing diagnostic accuracy, treatment planning, and patient outcomes in vascular surgery. Conclusion: The analysis highlights the rapid growth and collaborative nature of AI research in vascular surgery. Key contributors, influential journals, and emerging themes were identified, emphasizing AI's role in improving diagnostics and patient outcomes. Limitations include the focus on one database and a five-year period, suggesting future research should include more databases and a longer timeframe. Exploring high-impact studies and practical applications will further advance the field. [Turk J Vasc Surg 2024; 33(2.000): 103-11]https://turkishjournalofvascularsurgery.org//?mno=209813artificial intelligencevascular surgerybibliometric analysis |
| spellingShingle | Ufuk Demirkilic Burcu Tosun The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) Turkish Journal of Vascular Surgery artificial intelligence vascular surgery bibliometric analysis |
| title | The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) |
| title_full | The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) |
| title_fullStr | The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) |
| title_full_unstemmed | The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) |
| title_short | The rise of artificial intelligence in vascular surgery: A bibliometric analysis (2020-2024) |
| title_sort | rise of artificial intelligence in vascular surgery a bibliometric analysis 2020 2024 |
| topic | artificial intelligence vascular surgery bibliometric analysis |
| url | https://turkishjournalofvascularsurgery.org//?mno=209813 |
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