Colorectal cancer (CRC), as the third most common malignant tumor globally, poses a significant threat to human health, with its high mortality being strongly linked to limitations in early screening and diagnostic tools. Artificial intelligence (AI) technology offers breakthrough solutions for early screening and diagnosis of CRC through the integration of multimodal data. However, the clinical translation of AI technology still faces multiple challenges, including data heterogeneity, insufficient algorithm interpretability, lagging regulatory frameworks, and uneven distribution of medical resources, etc. Based on an in⁃depth review and analysis of relevant domestic and international literature, this paper comprehensively summarizes the technological innovations of AI technology in the field of early screening and diagnosis of CRC. It particularly focuses on exploring the clinical translation challenges faced by AI technology, with the aim of offering insights and recommendations to better leverage AI for identifying early⁃stage CRC.

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