Abstract
Background 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.
Methods 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.
Results 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 Spine. 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.
Conclusions 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.
Keywords
artificial intelligence - spine - bibliometric - VOSviewer
