ABSTRACTA considerable amount of recent research has focused on the role of artificial intelligence (AI) in colorectal cancer (CRC), aiming to improve outcomes in CRC. However, AI for young onset colorectal cancer (yoCRC)—defined as colorectal cancer in patients less than 50 years old—is not nearly as explored, and its role in the prevention, detection, and management of yoCRC remains largely unknown. To address this gap, we performed an integrative review on AI in yoCRC. We conducted a comprehensive literature search of PubMed, Medline (Ovid), and Embase for articles published from 2020 to 2024, adhering to specific inclusion and exclusion criteria. This integrative review involved gathering information from diverse research designs and literature sources. After removing duplicates and applying inclusion criteria, a total of 11 articles were included in the review. Our analysis identified one review discussing the importance of AI in yoCRC, three articles presenting research studies mentioning applications for yoCRC, and seven comprehensive investigations utilizing AI with a specific focus on yoCRC. The findings indicate that while AI in CRC is an evolving research field, there are few plans or implementations reported on how to incorporate AI specifically in yoCRC. Potential limitations of this review include the limited number of databases searched and the scope of search queries used. Nonetheless, this review highlights the need for more targeted research on AI applications in yoCRC. Future research can build upon the foundation of AI in CRC with adjustments to account for the increasing incidence of yoCRC.