Background With the rapid development of science and technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis analysis of various spine diseases. It has been proved that AI has a broad prospect in the accurate diagnosis and treatment of spine field.
Methods On May 07, 2022, the Web of Science (WOS) Core Collection database was used to identify the documents on the application of AI in spine field. HistCite and VOSviewer softwares 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 AV and Schwab JH. The USA was the most productive country. The leading journal was Spine. The most frequently used keyword was spinal. The most prolific institution was Northwestern Univ. Network visualization map showed that USA 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 prospect in the subject of spine field, and an increasing number of scholars are committed to the research of AI in spine field. 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.
Osteoporosis has become a major public health problem and bisphosphates treatment for osteoporosis is a rapidly developing research field. Every year, plenty of studies devoted to the treatment of osteoporosis are published, giving clinicians a new perspective on bisphosphates treatment for osteoporosis. However, the quality of the scientific papers in this area is unclear. The aim of the present study was to characterize the 100 top-cited articles regarding bisphosphates treatment for osteoporosis. This analysis provides an accessible list for practitioners of endocrinology, pharmacy, epidemiology, imaging, surgery, and scientific research to identify the most frequently cited literature and better understand the future direction.
Osteoporosis has become a major public health problem and bisphosphates
treatment for osteoporosis is a rapidly developing research field. Every
year, many studies are devoted to the treatment of osteoporosis, which
makes clinicians have a new understanding of bisphosphates treatment for
osteoporosis. However, the quality of the scientific papers in this area
is unclear. The aim of the present study was to characterize the 100
top-cited articles regarding bisphosphates treatment for osteoporosis.
This analysis provides an accessible list for practitioners of
endocrinology, pharmacy, epidemiology, imaging, surgery and scientific
research to identify the most frequently cited literature, and better
understand the future direction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.