 In recent years, artificial intelligence, AI, has made great strides in the medical field, particularly in the diagnosis and treatment of colorectal cancer, CRC. AI-assisted technologies such as computer-aided detection systems, machine learning, and bioinformatics analysis have helped to reduce the risk of CRC progression through early colonoscopy screenings. Additionally, convolutional neural networks have been used to accurately interpret pathology images, while robotic surgical systems like DaVinci have been employed to increase the accuracy of CRC surgeries. Furthermore, AI-driven advances in gene sequencing research have opened up new possibilities for personalized treatments. Overall, AI has demonstrated its potential to revolutionize the way we diagnose and treat CRC, and it is likely to continue to play an important role in the future of healthcare. This article was authored by Zhu Gong-Yin, Chen Wei-Yao, Li Ming-Zhang, and others.