[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatment of colorectal cancer (CRC). In terms of data analysis, AI-assisted diagnosis and treatment has significantly improved the sensitivity of colonoscopy and the accuracy of pathological diagnosis, thereby providing robust support for CRC diagnosis. Regarding data utilization, AI demonstrates unique advantages in precision medicine, prognosis prediction, and recurrence follow-up, leveraging its powerful data processing capabilities to explore more possibilities for CRC treatment. AI is increasingly becoming a pillar of the medical field. However, AI still faces significant challenges, including a shortage of high-quality datasets, barriers in medical insurance reimbursement, and insufficient algorithm generalization. The challenges confronting AI have gradually shifted from technical issues such as algorithm optimization and sample collection during the initial development phase to societal concerns including ethical review, insurance reimbursement barriers, and economic benefits during the application phase.