Systematic review shows AI models effectively interpret CT for chronic rhinosinusitis, suggesting improved accuracy with standardization.
AI, particularly ResNets-based models, demonstrates promising diagnostic accuracy for CRS CT interpretation. However, methodological heterogeneity limits comparability, underscoring the need for standardized, multicenter validation and integration of clinical data to enhance generalizability.
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Alanazi et al. (2026) studied this question.
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