Limitations and Pitfalls of Artificial Intelligence in Orthodontics: A Narrative Review

June 30, 2026Open Access

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Key Points

This review aims to identify limitations and barriers to the implementation of artificial intelligence in orthodontic practice.
Conducted comprehensive literature search across multiple databases including PubMed and Scopus.
Included articles published in peer-reviewed journals addressing AI in orthodontics.
Analyzed topics related to AI limitations, data quality, and technical challenges.
Identified that most AI models are trained on limited, homogeneous datasets affecting generalizability.
Highlighted critical issues concerning biological individuality that current models cannot address.
Outlined ethical concerns regarding accountability and opaque decision-making in AI applications.

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Narrative review evaluates barriers to AI integration in orthodontics, highlighting ethical and technical limitations.

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Bhimda et al. (2026) studied this question.

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