Grunhut Joel, Newland John J, Brown Rebecca Frances
Department of Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA.
J Surg Oncol. 2025 Jun;131(7):1368-1372. doi: 10.1002/jso.28036. Epub 2024 Dec 9.
A 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.
最近大量的研究聚焦于人工智能（AI）在结直肠癌（CRC）中的作用，旨在改善CRC的治疗效果。然而，针对青年发病结直肠癌（yoCRC，定义为年龄小于50岁患者的结直肠癌）的人工智能研究却几乎没有，其在yoCRC预防、检测和管理中的作用在很大程度上仍然未知。为了填补这一空白，我们对yoCRC中的人工智能进行了综合综述。我们对PubMed、Medline（Ovid）和Embase进行了全面的文献检索，以查找2020年至2024年发表的文章，遵循特定的纳入和排除标准。这项综合综述涉及从不同的研究设计和文献来源收集信息。在去除重复项并应用纳入标准后，共有11篇文章被纳入综述。我们的分析发现，有一篇综述讨论了人工智能在yoCRC中的重要性，三篇文章介绍了提及yoCRC应用的研究，还有七项综合研究专门针对yoCRC使用了人工智能。研究结果表明，虽然CRC中的人工智能是一个不断发展的研究领域，但关于如何将人工智能具体应用于yoCRC的计划或实施报告很少。本综述的潜在局限性包括搜索的数据库数量有限以及所使用的搜索查询范围。尽管如此，本综述强调了对yoCRC中人工智能应用进行更有针对性研究的必要性。未来的研究可以在CRC中人工智能的基础上进行拓展，并进行调整以应对yoCRC发病率不断上升的情况。
