ArticleIndian journal of orthopaedics2026
Hotspots and Trends in the Application of Artificial Intelligence in Spine Medicine from 2005 to 2024: A Bibliometric and Visualization Analysis.
Article in Indian journal of orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
3 authors.
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Abstract
Objective: Artificial intelligence (AI) is emerging as a transformative force in spine medicine, offering support in diagnosis, surgical planning, and postoperative care through advanced algorithms. We aim to perform a comprehensive bibliometric analysis of AI applications in spine medicine to uncover research trends and inform future directions. Methods: We screened English-language publications on AI in spine medicine from 2005 to 2024 in the Web of Science Core Collection. We utilized the CiteSpace, VOSviewer, and Bibliometrix R packages to analyze publication years, countries, institutions, authors, journals, references, and keywords, and to generate social network graphs. Scimago Graphica, Origin, and Microsoft Charticulator were used for additional visualization results. Results: 1344 papers were included. The development of AI in spine medicine can be divided into two phases: slow-growing (2005-2018) and fast-growing (2019-2024). The most productive countries and institutions were the USA and the University of California System, respectively. Galbusera F was the most prolific and influential author. Conclusions: AI in spine medicine is evolving rapidly. Author collaboration across teams should be enhanced. The existing studies are more focused on imaging diagnosis and classification. Future studies may increasingly explore spinal intraoperative navigation systems and disease progression prediction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.