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Mehmet Soybelli

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Open access Aug 2026

Assessing the Diagnostic Performance of ChatGPT-5.0 versus Machine Learning in Orthodontics: A Comparative Analysis for Extraction Treatment Planning.

While XGBoost yielded the highest overall classification accuracy, ChatGPT-5.0's high sensitivity in detecting extraction cases was noteworthy, and it demonstrated performance comparable to, and in some cases superior to, traditional ML models for orthodontic extraction decisions.

Artun Yangın, H. Camcı, Mehmet Soybelli · 0 citations

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