Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis

AI technologies exhibit strong potential to improve diagnostic accuracy in pediatric dentistry. However, limited external validation, methodological variability, and the scarcity of prospective real-world studies restrict immediate clinical implementation. Future research should prioritize the development of multicenter pediatric datasets, harmonized annotation workflows, and transparent, explainable AI (XAI) models to support safe and effective clinical translation.

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Publication Details

Journal
Children
Published
2026-01-21
DOI
https://doi.org/10.3390/children13010152
Primary Topic
Dental Health and Care Utilization
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis

Cenkhan BAL, İREM BİRBEN, KÜBRA ÖRNEK MULLAOĞLU, Nevra Karamüftüoğlu et al.
Children
Dental Health and Care Utilization
article

Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis

Cenkhan BAL, İREM BİRBEN, KÜBRA ÖRNEK MULLAOĞLU, Nevra Karamüftüoğlu, Asya Eda Altundağ, Büşra Yavuz Üçpunar
article en

Abstract

AI technologies exhibit strong potential to improve diagnostic accuracy in pediatric dentistry. However, limited external validation, methodological variability, and the scarcity of prospective real-world studies restrict immediate clinical implementation. Future research should prioritize the development of multicenter pediatric datasets, harmonized annotation workflows, and transparent, explainable AI (XAI) models to support safe and effective clinical translation.

ChildrenVol. 13(1)
University of Health Science (KH), Gülhane Askerî Tıp Akademisi (TR), Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Dental Health and Care Utilization
DOIOpen Access PDFOpenAlex
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