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July 13, 2026International Arab Journal of Dentistry

Employing Artificial Intelligence for Non-Invasive Diagnosis of Craniofacial Deformities: A Systematic Review of Non-Ionizing Radiation Methods

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Authors

NMNurul MutmainnahHAHarun AchmadLDLusy Damayanti

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Overview

Systematic review assesses AI's effectiveness in diagnosing craniofacial deformities without ionizing radiation, suggesting improved safety.

Key Points

  • The review evaluates the application of AI for diagnosing craniofacial deformities using non-ionizing radiation techniques.
  • Systematic literature search across five databases for AI-based non-invasive imaging techniques.
  • Followed PRISMA guidelines for study selection and analysis.
  • Reviewed diagnostic accuracy, types of deformities, and potential biases in the included articles.
  • Of 166 articles, 12 met inclusion criteria, involving over 5,000 individuals.
  • AI diagnostic accuracy ranged from 70.2% to 99.5%.
  • Machine learning methods diagnosed craniosynostosis and plagiocephaly effectively without ionizing radiation exposure.

Cite This Study

Mutmainnah et al. (2026) studied this question.

synapsesocial.com/papers/6a548105475c38bf615a56fdhttps://doi.org/10.65314/2218-0885.1924
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