Research work · 2026

Generative artificial intelligence in dentistry: a bibliometric analysis

SAP Artificial Intelligence in Dentistry

Abstract

Introduction: Large language models and generative artificial intelligence have spread rapidly through dentistry, but the volume and structure of the corresponding literature have not been mapped. Methods: A bibliometric analysis of the Scopus-indexed literature was performed. Results: The query retrieved 1,777 documents published between 2022 and 2026 across 720 sources and 93 countries. Annual production grew from 1 document in 2022 to 900 in 2026 (an annual growth rate of 447.7%), and the corpus accumulated 15,608 citations (mean 8.8; h-index 54), with 42.8% of documents uncited. Conclusions: The field emerged in 2022, grew exponentially thereafter, and was led by Turkey, the United States, and China, with concentration in oral-health and dental-education journals.

DOI: 10.62486/aid202690