人工智能对年轻人群结直肠癌的影响。

IF 2 3区 医学 Q3 ONCOLOGY Journal of Surgical Oncology Pub Date : 2024-12-09 DOI:10.1002/jso.28036
Joel Grunhut, John J Newland, Rebecca Frances Brown
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引用次数: 0

摘要

最近大量的研究集中在人工智能(AI)在结直肠癌(CRC)中的作用,旨在改善结直肠癌的预后。然而,人工智能在年轻发病的结直肠癌(yoCRC)(定义为年龄小于50岁的结直肠癌)中的应用尚不明确,其在yoCRC的预防、检测和管理中的作用仍然很大程度上未知。为了解决这一差距,我们对yoCRC中的人工智能进行了综合审查。我们在PubMed、Medline (Ovid)和Embase上对2020 - 2024年发表的文章进行了全面的文献检索,并遵循特定的纳入和排除标准。这项综合综述包括从不同的研究设计和文献来源收集信息。在删除重复并应用纳入标准后,共有11篇文章被纳入综述。我们的分析确定了一篇讨论人工智能在yoCRC中的重要性的综述,三篇介绍了提到yoCRC应用的研究的文章,以及七篇利用人工智能专门关注yoCRC的综合调查。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纳入CRC的计划或实施报告很少。本综述的潜在局限性包括检索的数据库数量有限和所使用的检索查询的范围。尽管如此,这篇综述强调了在yoCRC中对人工智能应用进行更有针对性的研究的必要性。未来的研究可以建立在人工智能在CRC中的基础上,并进行调整,以考虑到yoCRC发病率的增加。
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Implications of Artificial Intelligence for Colorectal Cancer in Young Populations.

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.

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来源期刊
CiteScore
4.70
自引率
4.00%
发文量
367
审稿时长
2 months
期刊介绍: The Journal of Surgical Oncology offers peer-reviewed, original papers in the field of surgical oncology and broadly related surgical sciences, including reports on experimental and laboratory studies. As an international journal, the editors encourage participation from leading surgeons around the world. The JSO is the representative journal for the World Federation of Surgical Oncology Societies. Publishing 16 issues in 2 volumes each year, the journal accepts Research Articles, in-depth Reviews of timely interest, Letters to the Editor, and invited Editorials. Guest Editors from the JSO Editorial Board oversee multiple special Seminars issues each year. These Seminars include multifaceted Reviews on a particular topic or current issue in surgical oncology, which are invited from experts in the field.
期刊最新文献
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