Department of Orthopedics, Clinical Medical College of Yangzhou University, Yangzhou, China.
Graduate School of Dalian Medical University, Dalian, China.
J Neurol Surg A Cent Eur Neurosurg. 2024 Jan;85(1):62-73. doi: 10.1055/a-2013-3149. Epub 2023 Jan 14.
With the rapid development of science and technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis of various spine diseases. It has been proved that AI has a broad prospect in accurate diagnosis and treatment of spine disorders.
On May 7, 2022, the Web of Science (WOS) Core Collection database was used to identify the documents on the application of AI in the field of spine care. HistCite and VOSviewer were used for citation analysis and visualization mapping.
A total of 693 documents were included in the final analysis. The most prolific authors were Karhade A.V. and Schwab J.H. United States was the most productive country. The leading journal was . The most frequently used keyword was spinal. The most prolific institution was Northwestern University in Illinois, USA. Network visualization map showed that United States was the largest network of international cooperation. The keyword "machine learning" had the strongest total link strengths (TLS) and largest number of occurrences. The latest trends suggest that AI for the diagnosis of spine diseases may receive widespread attention in the future.
AI has a wide range of application in the field of spine care, and an increasing number of scholars are committed to research on the use of AI in the field of spine care. Bibliometric analysis in the field of AI and spine provides an overall perspective, and the appreciation and research of these influential publications are useful for future research.
随着科学技术的飞速发展，人工智能（AI）已广泛应用于各种脊柱疾病的诊断和预后。研究证明，AI 在脊柱疾病的准确诊断和治疗方面具有广阔的前景。
2022 年 5 月 7 日，使用 Web of Science（WOS）核心合集数据库，确定 AI 在脊柱护理领域应用的相关文献。使用 HistCite 和 VOSviewer 进行引文分析和可视化映射。
共纳入 693 篇文献进行最终分析。最有影响力的作者是美国的 Karhade A.V. 和 Schwab J.H.，发文量最多的国家也是美国。发文量最多的期刊是. 最常用的关键词是 spinal。最有影响力的机构是美国伊利诺伊州的西北大学。网络可视化图谱显示，美国是国际合作的最大网络。关键词“machine learning”的总联系强度（TLS）最强，出现次数最多。最新趋势表明，未来 AI 可能会广泛应用于脊柱疾病的诊断。
AI 在脊柱护理领域有广泛的应用，越来越多的学者致力于研究 AI 在脊柱护理领域的应用。对 AI 和脊柱领域的文献计量分析提供了一个全面的视角，对这些有影响力的出版物的评价和研究有助于未来的研究。
