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Artificial Intelligence Applications in Pediatric Dentistry: A Comprehensive Review
Zeliha Hatipoğlu Palaz1, Yasemin Akın1, Ümmühan Karademir1
1Department of Pediatric Dentistry, Faculty of Dentistry, Gazi University, 06490 Ankara, Turkey.
Biomimetics (Basel, Switzerland)
|May 26, 2026
Summary
Artificial intelligence (AI) is revolutionizing pediatric dentistry by improving oral health assessments and diagnostics in children. This technology enhances diagnostic accuracy and reduces variability, paving the way for safer clinical integration.
Area of Science:
- Pediatric Dentistry
- Artificial Intelligence
- Medical Imaging
Background:
- Artificial intelligence (AI) applications are rapidly growing in pediatric dentistry.
- AI plays a crucial role in children's oral health assessment and diagnostics.
- Image-based analyses and predictive models show potential for improved accuracy and reduced variability.
Purpose of the Study:
- To review AI applications in pediatric dentistry.
- To summarize machine learning and deep learning methodologies in this field.
- To identify limitations and future research directions for AI integration.
Main Methods:
- Structured review of current literature on AI in pediatric dentistry.
- Analysis of machine learning and deep learning approaches.
- Critical evaluation of existing evidence and identification of research gaps.
Main Results:
- AI, particularly image analysis and predictive models, offers significant potential in pediatric dental diagnostics.
- Existing evidence highlights the promise of AI in enhancing accuracy and reducing observer variability.
- Key limitations in current research need to be addressed for effective implementation.
Conclusions:
- AI technologies are poised to transform pediatric dentistry.
- Further research is needed to overcome limitations and ensure safe, sustainable clinical integration.
- AI offers a promising future for improving children's oral healthcare outcomes.
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