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Artificial Intelligence in Periodontology: A Scoping Review
James Scott1, Alberto M Biancardi2, Oliver Jones1
1School of Clinical Dentistry, The University of Sheffield, Claremont Crescent, Sheffield S10 2TA, UK.
Dentistry Journal
|February 24, 2023
Summary
Artificial intelligence (AI) is enhancing periodontitis diagnosis and epidemiology research. However, varied reporting methods hinder direct comparisons, necessitating standardized approaches for AI in dental health.
Area of Science:
- Dental Science
- Medical Informatics
- Computer Science
Background:
- Periodontitis is a prevalent global disease affecting tooth-supporting tissues.
- Artificial intelligence (AI) is emerging as a valuable tool in clinical diagnosis and treatment.
- AI applications in periodontitis research are rapidly expanding.
Purpose of the Study:
- To systematically review existing literature on AI's impact on periodontitis diagnosis and epidemiology.
- To identify trends and methodologies in AI-driven periodontitis research.
- To highlight challenges and suggest improvements for future studies.
Main Methods:
- Comprehensive literature searches were conducted in April 2022.
- Studies employing AI as an independent variable for periodontitis assessment were included.
- A total of 50 articles were synthesized after screening 401 initial records.
Main Results:
- The majority of included studies utilized visual imaging data, with a mean of 1666 images per study.
- A significant increase in AI-related periodontitis publications has been observed over the past decade.
- Heterogeneous reporting of outcomes due to diverse statistical analyses was noted.
Conclusions:
- AI shows promise as an assistive tool in diagnosing and understanding periodontitis.
- Standardization of methodologies and reporting is crucial for meaningful comparisons in AI-based periodontitis research.
- Further research is needed to establish consistent AI application and evaluation frameworks in periodontitis.
