AI vs Traditional Dental Age Estimation on Panoramic X-rays

AI dental age estimation on 1000 orthopantomograms achieved ICC=0.965 (bias +4.31 yrs), outperforming Cameriere (ICC=0.376), Drusini (0.331), Kvaal (0.310). AI applicability 91.1% vs 39.5-70.8% for traditional methods. Retrospective, systematic overestimation.

• Retrospective study of 1000 adult orthopantomograms (ages 18–79) compared a CNN AI model with three traditional morphometric methods (Kvaal, Drusini, Cameriere).
• AI model showed superior reliability (ICC=0.965, CV=4.34%, SEP=3.64 years) but systematic overestimation of age (mean bias +4.31 years); traditional methods had poor ICC (0.310–0.376) and larger biases.
• AI applicability rate was 91.1% vs 39.5–70.8% for traditional methods; external validation not performed.

Retrospective single-institution study; AI model not externally validated; primary source is PubMed abstract, full article not reviewed.

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