Artificial intelligence in implant dentistry and prosthodontics: a bibliometric analysis

Greta Cordovi Vallongo, Gretacordovi@gmail.com and Youris Samón Mayan

SAP Artificial Intelligence in Dentistry, 2026

Abstract: Introduction: Artificial intelligence is increasingly applied to implant dentistry and prosthodontics, but the volume and structure of this literature have not been mapped. Methods: A bibliometric analysis of the Scopus-indexed literature was performed using a TITLE-ABS-KEY query combining artificial intelligence, machine learning, and deep learning terms with dental implant and prosthodontic terms, restricted to 2018-2026. Results: The query retrieved 1,115 documents published between 2018 and 2026 across 430 sources and 72 countries. Annual production grew from 9 documents in 2018 to 432 in 2026 (an annual growth rate of 62.2%), and the corpus accumulated 14,314 citations (mean 12.8; h-index 55), with 34.5% of documents uncited. Conclusions: The field grew steadily from 2018 and accelerated after 2023, was led by China, India, and the United States, and concentrated in prosthetic and implant dentistry journals.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cwf:aidart:aid202662

DOI: 10.62486/aid202662

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