Artificial intelligence in dentistry: a bibliometric analysis.

Area of Science:

• Dentistry
• Artificial Intelligence
• Bibliometrics

Background:

• Artificial intelligence (AI) applications in dentistry are a growing research area.
• Understanding the current landscape and future directions is essential for development.

Purpose of the Study:

• To conduct a bibliometric analysis of AI in dentistry.
• To identify research frontiers, trends, and limitations.
• To provide insights for future AI development in dentistry.

Main Methods:

• Bibliometric analysis of literature from Web of Science Core Collections.
• Utilized CiteSpace for authorship, country, institution, and keyword analysis.
• Visualized data to identify trends and clusters.

Main Results:

• Research on AI in dentistry has surged since 2019.
• China and the United States lead in publications.
• Key research directions include technological applications and dental subspecialties.
• Convolutional neural networks and supervised machine learning show sustained interest.

Conclusions:

• Current research hotspots focus on oral disease diagnosis and treatment.
• Further optimization of AI models, training data, and analytical capabilities is needed.
• Realizing the full potential of AI in dentistry requires continued development.