Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prediction of Prognosis of Colorectal Cancer

Abstract

Colorectal cancer (CRC) is one of the most common cancers globally. Prevention, precise early detection and diagnosis, selecting the best treatment strategy, and correct prediction of prognosis are essential to reduce the burden of CRC and to improve the patients’ survival and quality of life. Along with the explosion of available clinical, omics, pathological, and radiological data, artificial intelligence (AI) has shown a great potential in CRC clinical management, and has provided clinicians with new auxiliary approaches to identify high-risk patients, to select personalized treatment strategies, and to predict prognosis. This review is a comprehensive study on the research progress and clinical applications of AI in management of CRC, including screening, diagnosis, treatment, and prognosis. In short, this review demonstrates the current status of the AI in CRC management. Limitations, challenges, and future prospects of AI in the clinical management of CRC are also discussed.