Systematic review maps AI advancements across three key dental imaging modalities

A systematic review of AI in dental radiology finds significant impact on cephalometric, panoramic, and CBCT imaging, with CNNs, U-Net, and transformers as dominant architectures. The study bridges theory to clinical use and includes bibliometric analysis, though pooled performa…

• Design: Multi-modality systematic review and bibliometric analysis of AI applications in dental radiography.
• Key architectures: CNNs, U-Net, nnU-Net, transformer-based, and hybrid models are highlighted across included studies.
• Limitation: Abstract does not provide number of included studies or quantitative meta-analytic results.

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