๐Ÿง‘๐Ÿผโ€๐Ÿ’ป Research - August 7, 2025

Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.

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โšก Quick Summary

This bibliometric analysis explores the rise of artificial intelligence (AI) in the field of prosthodontics from 1995 to 2024, revealing significant contributions from the United States, China, and Italy. Key findings highlight the focus on accuracy in diagnosis and the use of AI in dental implant placement.

๐Ÿ” Key Details

  • ๐Ÿ“Š Dataset: 214 articles from 97 journals
  • ๐ŸŒ Top Contributors: United States, China, Italy
  • ๐Ÿซ Leading Institutions: Harvard University, Peking University
  • ๐Ÿ“ฐ Most Published Journal: International Journal of Oral & Maxillofacial Implants
  • ๐Ÿ”‘ Key Terms: accuracy, placement, surgery, dental implants

๐Ÿ”‘ Key Takeaways

  • ๐Ÿ“ˆ Growth in AI applications in prosthodontics has surged in recent years.
  • ๐Ÿ” Major research areas include AI’s role in diagnosis and implantology.
  • ๐Ÿ—บ๏ธ Leading countries in this research are the United States, China, and Italy.
  • ๐Ÿ† Harvard University and Peking University are at the forefront of AI research in this field.
  • ๐Ÿ“š The most common keywords reflect a focus on accuracy, placement, and surgery.
  • ๐Ÿš€ Emerging trends indicate a shift towards 3D printing and system integration in future research.
  • ๐Ÿค– AI’s potential extends to predicting implant success and creating smart maxillofacial prostheses.

๐Ÿ“š Background

The integration of artificial intelligence into healthcare has transformed various fields, and prosthodontics is no exception. With advancements in technology, AI applications are becoming increasingly prevalent, particularly in areas such as diagnosis, maxillofacial prosthetics, and implantology. However, a comprehensive analysis of the research landscape in this domain has been lacking until now.

๐Ÿ—’๏ธ Study

This study conducted a thorough bibliometric analysis of articles related to AI in prosthodontics, utilizing data from the Web of Science Core Collection as of August 26, 2024. The analysis employed tools like VOSviewer and CiteSpace to map the knowledge structure and identify research hotspots in this evolving field.

๐Ÿ“ˆ Results

The analysis revealed a total of 214 articles published across 97 journals, authored by 1061 researchers. The United States, China, and Italy emerged as the leading contributors, with Harvard University and Peking University identified as the primary research institutions. The International Journal of Oral & Maxillofacial Implants was noted for having the highest number of publications, while Wismeijer Daniel achieved the highest H-index, indicating significant influence in the field.

๐ŸŒ Impact and Implications

The findings of this bibliometric analysis underscore the growing importance of AI in prosthodontics. As research continues to evolve, the focus on accuracy in diagnosis and the integration of AI in dental implant placement could lead to improved patient outcomes and more efficient treatment protocols. The emergence of keywords like 3D printing suggests exciting future directions for research and innovation in this area.

๐Ÿ”ฎ Conclusion

This bibliometric analysis provides a valuable overview of the landscape of AI in prosthodontics over the past two decades. By identifying key contributors, institutions, and research trends, it highlights the potential of AI to revolutionize practices in this field. As we look ahead, continued exploration and investment in AI technologies will be crucial for advancing prosthodontic care and enhancing patient experiences.

๐Ÿ’ฌ Your comments

What are your thoughts on the integration of AI in prosthodontics? We would love to hear your insights! ๐Ÿ’ฌ Join the conversation in the comments below or connect with us on social media:

Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.

Abstract

BACKGROUND: Artificial intelligence (AI) applications in prosthodontics has increased significantly in recent years, including diagnosis, maxillofacial prosthesis, and implantology. However, there is no bibliometric analysis in this research field. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots of AI in prosthodontics through bibliometrics.
METHODS: As of August 26, 2024, articles on AI and prosthodontics in the Web of Science Core Collection (WoSCC) were collected. VOSviewer 1.6.20, and CiteSpace 6.3.R1 and R 4.3.3 were used to conduct this bibliometric analysis.
RESULTS: Totally, 214 articles published in 97 journals from 1061 authors were included in our study. The top contributors to this field were the United States, China, and Italy. Harvard University and Peking University are the main research institutions. The journal with the most publications was International Journal of Oral & Maxillofacial Implants, and Wismeijer Daniel had the highest H-index. The most common keywords were “accuracy,” “placement,” “surgery,” and “dental implants.” Analysis of keywords bursts indicated that “dentistry,” “3d printing,” and “system” have recently been used, indicating that future research will focus on these keywords.
CONCLUSIONS: The study conducted a bibliometric analysis of over 20 years of AI and prosthodontics research, identifying the countries, institutions, authors, and journals, involved in this field. The current major topics were the accuracy of AI in diagnosis, and the AI and dental implants placement. AI is further useful for prediction of implant success and fabrication of digitally smart maxillofacial prosthesis.

Author: [‘Hu W’]

Journal: Digit Health

Citation: Hu W. Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis. Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis. 2025; 11:20552076251365830. doi: 10.1177/20552076251365830

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