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This systematic scoping review examines three categories of large AI models in dental healthcare: language-generative models, discriminative vision foundation models, and dental-specific foundation models, analyzing 97 studies to show that general-purpose and domain-specific models play complementary roles, with integrated pipelines outperforming single-model approaches.
This paper presents a systematic literature review of hybrid approaches for interval wind speed forecasting, combining deep learning, modal decomposition, and statistical methods to enhance prediction accuracy and reliability.
This systematic review of 139 studies proposes a unified framework and meta-analysis for document classification via multimodal and multiview information fusion, finding that fusion improves accuracy (mean gain of +5.28 percentage points) but highlights reproducibility challenges.