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Kutluhan Yılmaz

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Open access Sep 2026

Classification Performance of General-Purpose Multimodal Large Language Models Across Orthodontic Radiographic Tasks: A Comparative Study of ChatGPT, Gemini, and Claude

Background and Objectives: General-purpose multimodal large language models (MLLMs) can interpret radiographic images, but their classification performance across orthodontic tasks remains uncertain. This study compared the classification performance of ChatGPT, Gemini, and Claude on lateral cephalometric, hand–wrist,...

N. Tanrısever, Kutluhan Yılmaz, Ayşegül Dilara Güvenç Tokur et al. · 0 citations

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